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-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">file &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="lanczos_8hpp.html">lanczos.hpp</a> <a href="lanczos_8hpp_source.html">[code]</a></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="lanczos_8hpp_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="lanczos_8hpp.html">lanczos.hpp</a></td></tr>
 <tr class="memdesc:lanczos_8hpp"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform the Lanczos bidiagonalization iterations. <br /></td></tr>
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-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">file &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="parallel_8hpp.html">parallel.hpp</a> <a href="parallel_8hpp_source.html">[code]</a></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="parallel_8hpp_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="parallel_8hpp.html">parallel.hpp</a></td></tr>
 <tr class="memdesc:parallel_8hpp"><td class="mdescLeft">&#160;</td><td class="mdescRight">Sparse matrix class with parallelized multiplication. <br /></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">file &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="utils_8hpp.html">utils.hpp</a> <a href="utils_8hpp_source.html">[code]</a></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="utils_8hpp_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="utils_8hpp.html">utils.hpp</a></td></tr>
 <tr class="memdesc:utils_8hpp"><td class="mdescLeft">&#160;</td><td class="mdescRight">Various utility functions. <br /></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">file &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="wrappers_8hpp.html">wrappers.hpp</a> <a href="wrappers_8hpp_source.html">[code]</a></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="wrappers_8hpp_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="wrappers_8hpp.html">wrappers.hpp</a></td></tr>
 <tr class="memdesc:wrappers_8hpp"><td class="mdescLeft">&#160;</td><td class="mdescRight">Wrapper classes for multiplication of modified matrices. <br /></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table>
 </div><!-- contents -->
 <!-- start footer part -->
 <hr class="footer"/><address class="footer"><small>
-Generated by&#160;<a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.9.6
+Generated by&#160;<a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.9.7
 </small></address>
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new file mode 100644
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--- /dev/null
+++ b/docs/docd.svg
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+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 80 60" id="doc" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#C4CFE5">
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+</g>
+<g style="fill:#4665A2;stroke-width:0">
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+<path d="M 9.8293515,9.0581469 V 7.9456453 l 1.1058025,1.1055492 c 0.608191,0.6080521 1.105802,1.1086775 1.105802,1.1125015 0,0.0038 -0.497611,0.007 -1.105802,0.007 H 9.8293515 Z" transform="matrix(5,0,0,5,0,-30)" />
+</g>
+</svg>
diff --git a/docs/doxygen-awesome.css b/docs/doxygen-awesome.css
index e8399cb..0823897 100644
--- a/docs/doxygen-awesome.css
+++ b/docs/doxygen-awesome.css
@@ -776,6 +776,8 @@ html.dark-mode iframe#MSearchResults {
 #side-nav {
     padding: 0 !important;
     background: var(--side-nav-background);
+    min-width: 8px;
+    max-width: 50vw;
 }
 
 @media screen and (max-width: 767px) {
@@ -863,8 +865,9 @@ html.dark-mode iframe#MSearchResults {
 }
 
 .ui-resizable-e {
-    background: var(--separator-color);
-    width: 1px;
+    width: 4px;
+    background: transparent;
+    box-shadow: inset -1px 0 0 0 var(--separator-color);
 }
 
 /*
@@ -2450,6 +2453,10 @@ h2:hover a.anchorlink, h1:hover a.anchorlink, h3:hover a.anchorlink, h4:hover a.
  Optional tab feature
 */
 
+.tabbed {
+    margin: var(--spacing-medium) auto;
+}
+
 .tabbed ul {
     padding-inline-start: 0px;
     margin: 0;
@@ -2487,6 +2494,7 @@ h2:hover a.anchorlink, h1:hover a.anchorlink, h3:hover a.anchorlink, h4:hover a.
     font-size: var(--page-font-size);
     cursor: pointer;
     box-shadow: 0 1px 0 0 var(--separator-color);
+    position: relative;
 }
 
 .tabs-overview button.tab-button .tab-title {
@@ -2501,22 +2509,22 @@ h2:hover a.anchorlink, h1:hover a.anchorlink, h3:hover a.anchorlink, h4:hover a.
 }
 
 .tabs-overview button.tab-button:hover .tab-title {
-    background: var(--primary-color);
-    color: var(--page-background-color);
+    background: var(--separator-color);
     box-shadow: none;
 }
 
 .tabs-overview button.tab-button.active {
     color: var(--primary-color);
-    box-shadow: 0 1px 0 0 var(--primary-color), inset 0 -1px 0 0 var(--primary-color);
 }
 
-@media (prefers-color-scheme: dark) {
-    html:not(.light-mode) .tabs-overview button.tab-button:hover .tab-title {
-        color: var(--page-foreground-color);
-    }
+.tabs-overview button.tab-button.active::after {
+    content: '';
+    display: block;
+    position: absolute;
+    left: 0px;
+    bottom: 0;
+    right: 0px;
+    height: 3px;
+    border-radius: var(--border-radius-small) var(--border-radius-small) 0 0;
+    background-color: var(--primary-color);
 }
-
-html.dark-mode .tabs-overview button.tab-button:hover .tab-title {
-    color: var(--page-foreground-color);
-}
\ No newline at end of file
diff --git a/docs/doxygen.css b/docs/doxygen.css
index 8fee618..6d7ea72 100644
--- a/docs/doxygen.css
+++ b/docs/doxygen.css
@@ -1,4 +1,4 @@
-/* The standard CSS for doxygen 1.9.6*/
+/* The standard CSS for doxygen 1.9.7*/
 
 html {
 /* page base colors */
@@ -39,7 +39,9 @@ html {
 
 --icon-background-color: #728DC1;
 --icon-foreground-color: white;
---icon-doc-image: url('doc.png');
+--icon-doc-image: url('doc.svg');
+--icon-folder-open-image: url('folderopen.svg');
+--icon-folder-closed-image: url('folderclosed.svg');
 
 /* brief member declaration list */
 --memdecl-background-color: #F9FAFC;
@@ -100,6 +102,7 @@ html {
 --toc-background-color: #F4F6FA;
 --toc-border-color: #D8DFEE;
 --toc-header-color: #4665A2;
+--toc-down-arrow-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' version='1.1' height='10px' width='5px' fill='grey'><text x='0' y='5' font-size='10'>&%238595;</text></svg>");
 
 /** search field */
 --search-background-color: white;
@@ -125,6 +128,7 @@ html {
 --code-preprocessor-color: #806020;
 --code-string-literal-color: #002080;
 --code-char-literal-color: #008080;
+--code-xml-cdata-color: black;
 --code-vhdl-digit-color: #FF00FF;
 --code-vhdl-char-color: #000000;
 --code-vhdl-keyword-color: #700070;
@@ -151,7 +155,7 @@ html {
 
 /** font-family */
 --font-family-normal: Roboto,sans-serif;
---font-family-monospace: monospace,fixed;
+--font-family-monospace: 'JetBrains Mono',Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace,fixed;
 --font-family-nav: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
 --font-family-title: Tahoma,Arial,sans-serif;
 --font-family-toc: Verdana,'DejaVu Sans',Geneva,sans-serif;
@@ -203,7 +207,9 @@ html {
 
 --icon-background-color: #334975;
 --icon-foreground-color: #C4CFE5;
---icon-doc-image: url('docd.png');
+--icon-doc-image: url('docd.svg');
+--icon-folder-open-image: url('folderopend.svg');
+--icon-folder-closed-image: url('folderclosedd.svg');
 
 /* brief member declaration list */
 --memdecl-background-color: #0B101A;
@@ -264,6 +270,7 @@ html {
 --toc-background-color: #151E30;
 --toc-border-color: #202E4A;
 --toc-header-color: #A3B4D7;
+--toc-down-arrow-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' version='1.1' height='10px' width='5px'><text x='0' y='5' font-size='10' fill='grey'>&%238595;</text></svg>");
 
 /** search field */
 --search-background-color: black;
@@ -289,6 +296,7 @@ html {
 --code-preprocessor-color: #65CABE;
 --code-string-literal-color: #7EC699;
 --code-char-literal-color: #00E0F0;
+--code-xml-cdata-color: #C9D1D9;
 --code-vhdl-digit-color: #FF00FF;
 --code-vhdl-char-color: #000000;
 --code-vhdl-keyword-color: #700070;
@@ -315,7 +323,7 @@ html {
 
 /** font-family */
 --font-family-normal: Roboto,sans-serif;
---font-family-monospace: monospace,fixed;
+--font-family-monospace: 'JetBrains Mono',Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace,fixed;
 --font-family-nav: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
 --font-family-title: Tahoma,Arial,sans-serif;
 --font-family-toc: Verdana,'DejaVu Sans',Geneva,sans-serif;
@@ -638,7 +646,7 @@ div.line {
 	font-family: var(--font-family-monospace);
         font-size: 13px;
 	min-height: 13px;
-	line-height: 1.0;
+	line-height: 1.2;
 	text-wrap: unrestricted;
 	white-space: -moz-pre-wrap; /* Moz */
 	white-space: -pre-wrap;     /* Opera 4-6 */
@@ -808,6 +816,10 @@ span.charliteral {
 	color: var(--code-char-literal-color);
 }
 
+span.xmlcdata {
+	color: var(--code-xml-cdata-color);
+}
+
 span.vhdldigit { 
 	color: var(--code-vhdl-digit-color);
 }
@@ -1222,8 +1234,7 @@ div.directory {
     width: 24px;
     height: 18px;
     margin-bottom: 4px;
-    background-image:url('folderopen.png');
-    background-position: 0px -4px;
+    background-image:var(--icon-folder-open-image);
     background-repeat: repeat-y;
     vertical-align:top;
     display: inline-block;
@@ -1233,8 +1244,7 @@ div.directory {
     width: 24px;
     height: 18px;
     margin-bottom: 4px;
-    background-image:url('folderclosed.png');
-    background-position: 0px -4px;
+    background-image:var(--icon-folder-closed-image);
     background-repeat: repeat-y;
     vertical-align:top;
     display: inline-block;
@@ -1653,7 +1663,7 @@ div.toc {
 }
 
 div.toc li {
-        background: url("bdwn.png") no-repeat scroll 0 5px transparent;
+        background: var(--toc-down-arrow-image) no-repeat scroll 0 5px transparent;
         font: 10px/1.2 var(--font-family-toc);
         margin-top: 5px;
         padding-left: 10px;
@@ -1682,11 +1692,11 @@ div.toc li.level2 {
 }
 
 div.toc li.level3 {
-        margin-left: 30px;
+        margin-left: 15px;
 }
 
 div.toc li.level4 {
-        margin-left: 45px;
+        margin-left: 15px;
 }
 
 span.emoji {
diff --git a/docs/doxygen.svg b/docs/doxygen.svg
index d42dad5..79a7635 100644
--- a/docs/doxygen.svg
+++ b/docs/doxygen.svg
@@ -1,4 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
 <svg version="1.1" viewBox="0 0 104 31" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
  <defs>
   <linearGradient id="a">
@@ -17,7 +19,7 @@
   </filter>
  </defs>
  <g>
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diff --git a/docs/functions.html b/docs/functions.html
index 263f8c2..ee5b749 100644
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@@ -3,7 +3,7 @@
 <head>
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 <meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.9.6"/>
+<meta name="generator" content="Doxygen 1.9.7"/>
 <meta name="viewport" content="width=device-width, initial-scale=1"/>
 <title>irlba: Class Members</title>
 <link href="tabs.css" rel="stylesheet" type="text/css"/>
@@ -31,7 +31,7 @@
 </table>
 </div>
 <!-- end header part -->
-<!-- Generated by Doxygen 1.9.6 -->
+<!-- Generated by Doxygen 1.9.7 -->
 <script type="text/javascript">
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@@ -74,15 +74,15 @@
 <div class="textblock">Here is a list of all documented class members with links to the class documentation for each member:</div>
 
 <h3><a id="index_a" name="index_a"></a>- a -</h3><ul>
-<li>adjoint_multiply()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a5aff4cb0fd5911af49db22ec71eacac7">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#ada2fd9d0ab3fa3acde0b15de3ac28163">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">irlba::Scaled&lt; Matrix &gt;</a></li>
-<li>adjoint_workspace()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#ae9cf9e63720540cdbe1cc880663f8c41">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#ae35f9d60c227dded2504eebe460d2404">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#a788c7506f44903b02a54eb5d6dfa1495">irlba::Scaled&lt; Matrix &gt;</a></li>
-<li>AdjointWorkspace&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a13b2ec774d429f0f00baaea0c413d087">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a3bb0c5f91e0839013a9b21e4c7f43c58">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>adjoint_multiply()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a5aff4cb0fd5911af49db22ec71eacac7">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#ada2fd9d0ab3fa3acde0b15de3ac28163">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
+<li>adjoint_workspace()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#ae9cf9e63720540cdbe1cc880663f8c41">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#ae35f9d60c227dded2504eebe460d2404">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
+<li>AdjointWorkspace&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a13b2ec774d429f0f00baaea0c413d087">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a3bb0c5f91e0839013a9b21e4c7f43c58">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
 </ul>
 
 
 <h3><a id="index_c" name="index_c"></a>- c -</h3><ul>
 <li>Centered()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a8e835ea0c77cc6eb75d5a257ae53eba8">irlba::Centered&lt; Matrix &gt;</a></li>
-<li>cols()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a25b700301187ffe9d12e5b6ba818f071">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#acbf711cbb3a9a83d69bfedea21bd9005">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#a543a8bbee1f05c3ba1f425a0470f0c18">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>cols()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a25b700301187ffe9d12e5b6ba818f071">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#acbf711cbb3a9a83d69bfedea21bd9005">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
 <li>converged&#160;:&#160;<a class="el" href="structirlba_1_1Irlba_1_1Results.html#a6bf7cdbdef24df8f02d7e309ee7c7dcc">irlba::Irlba::Results</a></li>
 </ul>
 
@@ -117,7 +117,7 @@ <h3><a id="index_i" name="index_i"></a>- i -</h3><ul>
 
 <h3><a id="index_m" name="index_m"></a>- m -</h3><ul>
 <li>maxit&#160;:&#160;<a class="el" href="structirlba_1_1Irlba_1_1Defaults.html#ade2d730ddc6de0a0143471489e0912a7">irlba::Irlba::Defaults</a></li>
-<li>multiply()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a8210b60275f835adc8fed1f204012d9f">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a6427498919e64e4614a1ccf2f5129e44">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>multiply()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a8210b60275f835adc8fed1f204012d9f">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a6427498919e64e4614a1ccf2f5129e44">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
 </ul>
 
 
@@ -133,15 +133,15 @@ <h3><a id="index_p" name="index_p"></a>- p -</h3><ul>
 
 
 <h3><a id="index_r" name="index_r"></a>- r -</h3><ul>
-<li>realize()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a700df2782062b93e673b5055adcf3195">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a8bf133aa882213086e986d614b602f43">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#ae4ef87991458b845f35f719ae662164f">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>realize()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a700df2782062b93e673b5055adcf3195">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a8bf133aa882213086e986d614b602f43">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
 <li>residuals()&#160;:&#160;<a class="el" href="structirlba_1_1LanczosBidiagonalization_1_1Intermediates.html#a36658e352fd1e441444d79deac5d9d73">irlba::LanczosBidiagonalization::Intermediates&lt; M &gt;</a></li>
-<li>rows()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#aac5fe8d8c706d670811c9d5e6c8bbf07">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a6ac24bc533cc7f21fc748360b6a8e6a8">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#a3761d433857f80dc429c8e0383b14afe">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>rows()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#aac5fe8d8c706d670811c9d5e6c8bbf07">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#a6ac24bc533cc7f21fc748360b6a8e6a8">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
 <li>run()&#160;:&#160;<a class="el" href="structirlba_1_1ConvergenceTest.html#a2f26a4c2204218eb21154f755d71fae9">irlba::ConvergenceTest</a>, <a class="el" href="classirlba_1_1Irlba.html#a6359f74f323409fdb21a4ba3df9f41d8">irlba::Irlba</a>, <a class="el" href="classirlba_1_1LanczosBidiagonalization.html#afa4c8158fdb9ffeeb94f431b368299e8">irlba::LanczosBidiagonalization</a></li>
 </ul>
 
 
 <h3><a id="index_s" name="index_s"></a>- s -</h3><ul>
-<li>Scaled()&#160;:&#160;<a class="el" href="structirlba_1_1Scaled.html#a9611b6038bccab2a73e506b6e589a054">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>Scaled()&#160;:&#160;<a class="el" href="structirlba_1_1Scaled.html#a1b2c01cf3f066d871702fec3948cfaa3">irlba::Scaled&lt; Matrix_, column_, divide_ &gt;</a></li>
 <li>seed&#160;:&#160;<a class="el" href="structirlba_1_1Irlba_1_1Defaults.html#a4b02b059a1ccc5cd7439816e54ed4222">irlba::Irlba::Defaults</a></li>
 <li>set_convergence_tolerance()&#160;:&#160;<a class="el" href="classirlba_1_1Irlba.html#a9aa27d5a7891b6350b4d2da80b9b99d5">irlba::Irlba</a></li>
 <li>set_epsilon()&#160;:&#160;<a class="el" href="classirlba_1_1LanczosBidiagonalization.html#af0ab346a06e95819dacb124d5827bebf">irlba::LanczosBidiagonalization</a></li>
@@ -170,12 +170,12 @@ <h3><a id="index_w" name="index_w"></a>- w -</h3><ul>
 <li>Workspace&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#aa86585b7bae6f19ae08d9a4baebc84fa">irlba::Centered&lt; Matrix &gt;</a></li>
 <li>workspace()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#a55b851d87fb995a2a04d3a07e69121ee">irlba::Centered&lt; Matrix &gt;</a></li>
 <li>Workspace&#160;:&#160;<a class="el" href="classirlba_1_1ParallelSparseMatrix.html#ace0a9677ba2415af992719ef0ff88ef5">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
-<li>workspace()&#160;:&#160;<a class="el" href="classirlba_1_1ParallelSparseMatrix.html#aede6b0baadeb52d351c25ab9f24da3dd">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a>, <a class="el" href="structirlba_1_1Scaled.html#a0ad062d5091c3d8a9537e1f4debe669a">irlba::Scaled&lt; Matrix &gt;</a></li>
+<li>workspace()&#160;:&#160;<a class="el" href="classirlba_1_1ParallelSparseMatrix.html#aede6b0baadeb52d351c25ab9f24da3dd">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
 </ul>
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 <!-- start footer part -->
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-Generated by&#160;<a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.9.6
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+<li>adjoint_workspace()&#160;:&#160;<a class="el" href="structirlba_1_1Centered.html#ae9cf9e63720540cdbe1cc880663f8c41">irlba::Centered&lt; Matrix &gt;</a>, <a class="el" href="classirlba_1_1ParallelSparseMatrix.html#ae35f9d60c227dded2504eebe460d2404">irlba::ParallelSparseMatrix&lt; column_major, ValueArray, IndexArray, PointerArray &gt;</a></li>
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   <div class="headertitle"><div class="title">C++ library for IRLBA </div></div>
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 <h1>Overview</h1>
 <p>This repository contains a header-only C++ library implementing the Augmented Implicitly Restarted Lanczos Bidiagonalization Algorithm (IRLBA) from Baglama and Lothar (2005). IRLBA is a fast and memory-efficient method for truncated singular value decomposition, and is particularly useful for approximate principal components analysis of large matrices. The code here is derived from the C code in the <a href="https://github.com/bwlewis/irlba"><b>irlba</b> R package</a>, refactored to use the <a href="http://eigen.tuxfamily.org/">Eigen</a> library for matrix algebra.</p>
 <h1>Quick start</h1>
@@ -90,10 +90,10 @@ <h1>Quick start</h1>
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-<div class="ttc" id="aclassirlba_1_1Irlba_html_a64dcc77838d579950f7eb05243852743"><div class="ttname"><a href="classirlba_1_1Irlba.html#a64dcc77838d579950f7eb05243852743">irlba::Irlba::set_number</a></div><div class="ttdeci">Irlba &amp; set_number(int n=Defaults::number)</div><div class="ttdef"><b>Definition:</b> irlba.hpp:76</div></div>
-<div class="ttc" id="aclassirlba_1_1Irlba_html_a79e4eb9df67ad58187389c4c30f4ab59"><div class="ttname"><a href="classirlba_1_1Irlba.html#a79e4eb9df67ad58187389c4c30f4ab59">irlba::Irlba::run</a></div><div class="ttdeci">Results run(const M &amp;mat, bool center, bool scale, Engine *eng=null_rng(), Eigen::VectorXd *init=NULL) const</div><div class="ttdef"><b>Definition:</b> irlba.hpp:525</div></div>
-<div class="ttc" id="aclassirlba_1_1Irlba_html_a9aa27d5a7891b6350b4d2da80b9b99d5"><div class="ttname"><a href="classirlba_1_1Irlba.html#a9aa27d5a7891b6350b4d2da80b9b99d5">irlba::Irlba::set_convergence_tolerance</a></div><div class="ttdeci">Irlba &amp; set_convergence_tolerance(double t=ConvergenceTest::Defaults::tol)</div><div class="ttdef"><b>Definition:</b> irlba.hpp:138</div></div>
-<div class="ttc" id="aclassirlba_1_1Irlba_html_ab2c04c1495a025b247553d85bea073ac"><div class="ttname"><a href="classirlba_1_1Irlba.html#ab2c04c1495a025b247553d85bea073ac">irlba::Irlba::set_maxit</a></div><div class="ttdeci">Irlba &amp; set_maxit(int m=Defaults::maxit)</div><div class="ttdef"><b>Definition:</b> irlba.hpp:89</div></div>
-<div class="ttc" id="aclassirlba_1_1Irlba_html_acb4508e8fb8473540f31951964596f02"><div class="ttname"><a href="classirlba_1_1Irlba.html#acb4508e8fb8473540f31951964596f02">irlba::Irlba::run</a></div><div class="ttdeci">Results run(const M &amp;mat, Engine *eng=null_rng(), Eigen::VectorXd *init=NULL) const</div><div class="ttdef"><b>Definition:</b> irlba.hpp:549</div></div>
-<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html">irlba::LanczosBidiagonalization</a></div><div class="ttdoc">Perform Lanczos bidiagonalization on an input matrix.</div><div class="ttdef"><b>Definition:</b> lanczos.hpp:21</div></div>
-<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html_af0ab346a06e95819dacb124d5827bebf"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html#af0ab346a06e95819dacb124d5827bebf">irlba::LanczosBidiagonalization::set_epsilon</a></div><div class="ttdeci">LanczosBidiagonalization &amp; set_epsilon(double e=Defaults::epsilon)</div><div class="ttdef"><b>Definition:</b> lanczos.hpp:40</div></div>
-<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html_af53e6725d54f09baad07deada8d46f74"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html#af53e6725d54f09baad07deada8d46f74">irlba::LanczosBidiagonalization::initialize</a></div><div class="ttdeci">Intermediates&lt; M &gt; initialize(const M &amp;mat) const</div><div class="ttdef"><b>Definition:</b> lanczos.hpp:91</div></div>
-<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html_afa4c8158fdb9ffeeb94f431b368299e8"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html#afa4c8158fdb9ffeeb94f431b368299e8">irlba::LanczosBidiagonalization::run</a></div><div class="ttdeci">void run(const M &amp;mat, Eigen::MatrixXd &amp;W, Eigen::MatrixXd &amp;V, Eigen::MatrixXd &amp;B, Engine &amp;eng, Intermediates&lt; M &gt; &amp;inter, int start=0) const</div><div class="ttdef"><b>Definition:</b> lanczos.hpp:122</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html"><div class="ttname"><a href="classirlba_1_1Irlba.html">irlba::Irlba</a></div><div class="ttdoc">Run IRLBA on an input matrix.</div><div class="ttdef"><b>Definition</b> irlba.hpp:31</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a1d25ffa06b6918f48afe37559958d000"><div class="ttname"><a href="classirlba_1_1Irlba.html#a1d25ffa06b6918f48afe37559958d000">irlba::Irlba::set_singular_value_ratio_tolerance</a></div><div class="ttdeci">Irlba &amp; set_singular_value_ratio_tolerance(double t=ConvergenceTest::Defaults::svtol)</div><div class="ttdef"><b>Definition</b> irlba.hpp:150</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a4b9561449d9f77156bc9e7ce0988e845"><div class="ttname"><a href="classirlba_1_1Irlba.html#a4b9561449d9f77156bc9e7ce0988e845">irlba::Irlba::run</a></div><div class="ttdeci">std::pair&lt; bool, int &gt; run(const Matrix &amp;mat, Eigen::MatrixXd &amp;outU, Eigen::MatrixXd &amp;outV, Eigen::VectorXd &amp;outD, Engine *eng=null_rng(), Eigen::VectorXd *init=NULL) const</div><div class="ttdef"><b>Definition</b> irlba.hpp:283</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a4ca6679e24ecfde03d952589d6654e0e"><div class="ttname"><a href="classirlba_1_1Irlba.html#a4ca6679e24ecfde03d952589d6654e0e">irlba::Irlba::set_work</a></div><div class="ttdeci">Irlba &amp; set_work(int w=Defaults::extra_work)</div><div class="ttdef"><b>Definition</b> irlba.hpp:114</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a4ce4790f38031dfc6ac715f1aa3666e2"><div class="ttname"><a href="classirlba_1_1Irlba.html#a4ce4790f38031dfc6ac715f1aa3666e2">irlba::Irlba::set_invariant_tolerance</a></div><div class="ttdeci">Irlba &amp; set_invariant_tolerance(double e=LanczosBidiagonalization::Defaults::epsilon)</div><div class="ttdef"><b>Definition</b> irlba.hpp:126</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a517d0cced89773e990aa625e433d7af5"><div class="ttname"><a href="classirlba_1_1Irlba.html#a517d0cced89773e990aa625e433d7af5">irlba::Irlba::set_seed</a></div><div class="ttdeci">Irlba &amp; set_seed(uint64_t s=Defaults::seed)</div><div class="ttdef"><b>Definition</b> irlba.hpp:101</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a6359f74f323409fdb21a4ba3df9f41d8"><div class="ttname"><a href="classirlba_1_1Irlba.html#a6359f74f323409fdb21a4ba3df9f41d8">irlba::Irlba::run</a></div><div class="ttdeci">std::pair&lt; bool, int &gt; run(const M &amp;mat, bool center, bool scale, Eigen::MatrixXd &amp;outU, Eigen::MatrixXd &amp;outV, Eigen::VectorXd &amp;outD, Engine *eng=null_rng(), Eigen::VectorXd *init=NULL) const</div><div class="ttdef"><b>Definition</b> irlba.hpp:188</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a64dcc77838d579950f7eb05243852743"><div class="ttname"><a href="classirlba_1_1Irlba.html#a64dcc77838d579950f7eb05243852743">irlba::Irlba::set_number</a></div><div class="ttdeci">Irlba &amp; set_number(int n=Defaults::number)</div><div class="ttdef"><b>Definition</b> irlba.hpp:76</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a79e4eb9df67ad58187389c4c30f4ab59"><div class="ttname"><a href="classirlba_1_1Irlba.html#a79e4eb9df67ad58187389c4c30f4ab59">irlba::Irlba::run</a></div><div class="ttdeci">Results run(const M &amp;mat, bool center, bool scale, Engine *eng=null_rng(), Eigen::VectorXd *init=NULL) const</div><div class="ttdef"><b>Definition</b> irlba.hpp:525</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_a9aa27d5a7891b6350b4d2da80b9b99d5"><div class="ttname"><a href="classirlba_1_1Irlba.html#a9aa27d5a7891b6350b4d2da80b9b99d5">irlba::Irlba::set_convergence_tolerance</a></div><div class="ttdeci">Irlba &amp; set_convergence_tolerance(double t=ConvergenceTest::Defaults::tol)</div><div class="ttdef"><b>Definition</b> irlba.hpp:138</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_ab2c04c1495a025b247553d85bea073ac"><div class="ttname"><a href="classirlba_1_1Irlba.html#ab2c04c1495a025b247553d85bea073ac">irlba::Irlba::set_maxit</a></div><div class="ttdeci">Irlba &amp; set_maxit(int m=Defaults::maxit)</div><div class="ttdef"><b>Definition</b> irlba.hpp:89</div></div>
+<div class="ttc" id="aclassirlba_1_1Irlba_html_acb4508e8fb8473540f31951964596f02"><div class="ttname"><a href="classirlba_1_1Irlba.html#acb4508e8fb8473540f31951964596f02">irlba::Irlba::run</a></div><div class="ttdeci">Results run(const M &amp;mat, Engine *eng=null_rng(), Eigen::VectorXd *init=NULL) const</div><div class="ttdef"><b>Definition</b> irlba.hpp:549</div></div>
+<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html">irlba::LanczosBidiagonalization</a></div><div class="ttdoc">Perform Lanczos bidiagonalization on an input matrix.</div><div class="ttdef"><b>Definition</b> lanczos.hpp:21</div></div>
+<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html_af0ab346a06e95819dacb124d5827bebf"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html#af0ab346a06e95819dacb124d5827bebf">irlba::LanczosBidiagonalization::set_epsilon</a></div><div class="ttdeci">LanczosBidiagonalization &amp; set_epsilon(double e=Defaults::epsilon)</div><div class="ttdef"><b>Definition</b> lanczos.hpp:40</div></div>
+<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html_af53e6725d54f09baad07deada8d46f74"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html#af53e6725d54f09baad07deada8d46f74">irlba::LanczosBidiagonalization::initialize</a></div><div class="ttdeci">Intermediates&lt; M &gt; initialize(const M &amp;mat) const</div><div class="ttdef"><b>Definition</b> lanczos.hpp:91</div></div>
+<div class="ttc" id="aclassirlba_1_1LanczosBidiagonalization_html_afa4c8158fdb9ffeeb94f431b368299e8"><div class="ttname"><a href="classirlba_1_1LanczosBidiagonalization.html#afa4c8158fdb9ffeeb94f431b368299e8">irlba::LanczosBidiagonalization::run</a></div><div class="ttdeci">void run(const M &amp;mat, Eigen::MatrixXd &amp;W, Eigen::MatrixXd &amp;V, Eigen::MatrixXd &amp;B, Engine &amp;eng, Intermediates&lt; M &gt; &amp;inter, int start=0) const</div><div class="ttdef"><b>Definition</b> lanczos.hpp:122</div></div>
 <div class="ttc" id="alanczos_8hpp_html"><div class="ttname"><a href="lanczos_8hpp.html">lanczos.hpp</a></div><div class="ttdoc">Perform the Lanczos bidiagonalization iterations.</div></div>
-<div class="ttc" id="anamespaceirlba_html"><div class="ttname"><a href="namespaceirlba.html">irlba</a></div><div class="ttdoc">Implements the IRLBA algorithm for approximate SVD.</div><div class="ttdef"><b>Definition:</b> irlba.hpp:22</div></div>
-<div class="ttc" id="anamespaceirlba_html_a78ee106624de7aed4f8ff0cc4a414239"><div class="ttname"><a href="namespaceirlba.html#a78ee106624de7aed4f8ff0cc4a414239">irlba::null_rng</a></div><div class="ttdeci">constexpr std::mt19937_64 * null_rng()</div><div class="ttdef"><b>Definition:</b> utils.hpp:173</div></div>
-<div class="ttc" id="anamespaceirlba_html_ac455bdeaab9538bd047eac59b457c995"><div class="ttname"><a href="namespaceirlba.html#ac455bdeaab9538bd047eac59b457c995">irlba::fill_with_random_normals</a></div><div class="ttdeci">void fill_with_random_normals(Vec &amp;vec, Engine &amp;eng)</div><div class="ttdef"><b>Definition:</b> utils.hpp:44</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html"><div class="ttname"><a href="structirlba_1_1Centered.html">irlba::Centered</a></div><div class="ttdoc">Wrapper for a centered matrix.</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:173</div></div>
-<div class="ttc" id="astructirlba_1_1ConvergenceTest_html"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html">irlba::ConvergenceTest</a></div><div class="ttdoc">Test for IRLBA convergence.</div><div class="ttdef"><b>Definition:</b> utils.hpp:96</div></div>
-<div class="ttc" id="astructirlba_1_1ConvergenceTest_html_a2f26a4c2204218eb21154f755d71fae9"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html#a2f26a4c2204218eb21154f755d71fae9">irlba::ConvergenceTest::run</a></div><div class="ttdeci">int run(const Eigen::VectorXd &amp;sv, const Eigen::VectorXd &amp;residuals, const Eigen::VectorXd &amp;last) const</div><div class="ttdef"><b>Definition:</b> utils.hpp:150</div></div>
-<div class="ttc" id="astructirlba_1_1ConvergenceTest_html_a3c812f10291fc61aaf042c39531fe71e"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html#a3c812f10291fc61aaf042c39531fe71e">irlba::ConvergenceTest::set_svtol</a></div><div class="ttdeci">ConvergenceTest &amp; set_svtol(double s=Defaults::svtol)</div><div class="ttdef"><b>Definition:</b> utils.hpp:135</div></div>
-<div class="ttc" id="astructirlba_1_1ConvergenceTest_html_a453d8d3b30ea1143712d6e127c50af3c"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html#a453d8d3b30ea1143712d6e127c50af3c">irlba::ConvergenceTest::set_tol</a></div><div class="ttdeci">ConvergenceTest &amp; set_tol(double t=Defaults::tol)</div><div class="ttdef"><b>Definition:</b> utils.hpp:122</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Defaults_html"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Defaults.html">irlba::Irlba::Defaults</a></div><div class="ttdoc">Default parameter values.</div><div class="ttdef"><b>Definition:</b> irlba.hpp:36</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Defaults_html_a4b02b059a1ccc5cd7439816e54ed4222"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Defaults.html#a4b02b059a1ccc5cd7439816e54ed4222">irlba::Irlba::Defaults::seed</a></div><div class="ttdeci">static constexpr uint64_t seed</div><div class="ttdef"><b>Definition:</b> irlba.hpp:55</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Defaults_html_a59b268764fec872b4b8c64ee3a90e103"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Defaults.html#a59b268764fec872b4b8c64ee3a90e103">irlba::Irlba::Defaults::number</a></div><div class="ttdeci">static constexpr int number</div><div class="ttdef"><b>Definition:</b> irlba.hpp:40</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Defaults_html_a5bcbb0f825ebb62a2626de2399cb6e6a"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Defaults.html#a5bcbb0f825ebb62a2626de2399cb6e6a">irlba::Irlba::Defaults::extra_work</a></div><div class="ttdeci">static constexpr int extra_work</div><div class="ttdef"><b>Definition:</b> irlba.hpp:45</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Defaults_html_ade2d730ddc6de0a0143471489e0912a7"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Defaults.html#ade2d730ddc6de0a0143471489e0912a7">irlba::Irlba::Defaults::maxit</a></div><div class="ttdeci">static constexpr int maxit</div><div class="ttdef"><b>Definition:</b> irlba.hpp:50</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Results_html"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Results.html">irlba::Irlba::Results</a></div><div class="ttdoc">Result of the IRLBA-based decomposition.</div><div class="ttdef"><b>Definition:</b> irlba.hpp:475</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Results_html_a01a33644ef84e921f611699d5656f255"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Results.html#a01a33644ef84e921f611699d5656f255">irlba::Irlba::Results::iterations</a></div><div class="ttdeci">int iterations</div><div class="ttdef"><b>Definition:</b> irlba.hpp:499</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Results_html_a2812e34506e7779d176132d3a80e7207"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Results.html#a2812e34506e7779d176132d3a80e7207">irlba::Irlba::Results::U</a></div><div class="ttdeci">Eigen::MatrixXd U</div><div class="ttdef"><b>Definition:</b> irlba.hpp:481</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Results_html_a56642661468cc1865a9e30b547ef7f6f"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Results.html#a56642661468cc1865a9e30b547ef7f6f">irlba::Irlba::Results::D</a></div><div class="ttdeci">Eigen::VectorXd D</div><div class="ttdef"><b>Definition:</b> irlba.hpp:494</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Results_html_a5c10f0d3b70685913c81bff3a7022bcd"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Results.html#a5c10f0d3b70685913c81bff3a7022bcd">irlba::Irlba::Results::V</a></div><div class="ttdeci">Eigen::MatrixXd V</div><div class="ttdef"><b>Definition:</b> irlba.hpp:488</div></div>
-<div class="ttc" id="astructirlba_1_1Irlba_1_1Results_html_a6bf7cdbdef24df8f02d7e309ee7c7dcc"><div class="ttname"><a href="structirlba_1_1Irlba_1_1Results.html#a6bf7cdbdef24df8f02d7e309ee7c7dcc">irlba::Irlba::Results::converged</a></div><div class="ttdeci">bool converged</div><div class="ttdef"><b>Definition:</b> irlba.hpp:504</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html"><div class="ttname"><a href="structirlba_1_1Scaled.html">irlba::Scaled</a></div><div class="ttdoc">Wrapper for a scaled matrix.</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:283</div></div>
+<div class="ttc" id="anamespaceirlba_html"><div class="ttname"><a href="namespaceirlba.html">irlba</a></div><div class="ttdoc">Implements the IRLBA algorithm for approximate SVD.</div><div class="ttdef"><b>Definition</b> irlba.hpp:22</div></div>
+<div class="ttc" id="anamespaceirlba_html_a78ee106624de7aed4f8ff0cc4a414239"><div class="ttname"><a href="namespaceirlba.html#a78ee106624de7aed4f8ff0cc4a414239">irlba::null_rng</a></div><div class="ttdeci">constexpr std::mt19937_64 * null_rng()</div><div class="ttdef"><b>Definition</b> utils.hpp:173</div></div>
+<div class="ttc" id="anamespaceirlba_html_ac455bdeaab9538bd047eac59b457c995"><div class="ttname"><a href="namespaceirlba.html#ac455bdeaab9538bd047eac59b457c995">irlba::fill_with_random_normals</a></div><div class="ttdeci">void fill_with_random_normals(Vec &amp;vec, Engine &amp;eng)</div><div class="ttdef"><b>Definition</b> utils.hpp:44</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html"><div class="ttname"><a href="structirlba_1_1Centered.html">irlba::Centered</a></div><div class="ttdoc">Wrapper for a centered matrix.</div><div class="ttdef"><b>Definition</b> wrappers.hpp:173</div></div>
+<div class="ttc" id="astructirlba_1_1ConvergenceTest_html"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html">irlba::ConvergenceTest</a></div><div class="ttdoc">Test for IRLBA convergence.</div><div class="ttdef"><b>Definition</b> utils.hpp:96</div></div>
+<div class="ttc" id="astructirlba_1_1ConvergenceTest_html_a2f26a4c2204218eb21154f755d71fae9"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html#a2f26a4c2204218eb21154f755d71fae9">irlba::ConvergenceTest::run</a></div><div class="ttdeci">int run(const Eigen::VectorXd &amp;sv, const Eigen::VectorXd &amp;residuals, const Eigen::VectorXd &amp;last) const</div><div class="ttdef"><b>Definition</b> utils.hpp:150</div></div>
+<div class="ttc" id="astructirlba_1_1ConvergenceTest_html_a3c812f10291fc61aaf042c39531fe71e"><div class="ttname"><a href="structirlba_1_1ConvergenceTest.html#a3c812f10291fc61aaf042c39531fe71e">irlba::ConvergenceTest::set_svtol</a></div><div class="ttdeci">ConvergenceTest &amp; set_svtol(double s=Defaults::svtol)</div><div class="ttdef"><b>Definition</b> utils.hpp:135</div></div>
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+<div class="ttc" id="anamespaceirlba_html"><div class="ttname"><a href="namespaceirlba.html">irlba</a></div><div class="ttdoc">Implements the IRLBA algorithm for approximate SVD.</div><div class="ttdef"><b>Definition</b> irlba.hpp:22</div></div>
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+<div class="ttc" id="anamespaceirlba_html_adb3751dd2a2de0754fe92d25a658b45c"><div class="ttname"><a href="namespaceirlba.html#adb3751dd2a2de0754fe92d25a658b45c">irlba::wrapped_adjoint_multiply</a></div><div class="ttdeci">void wrapped_adjoint_multiply(const Matrix *mat, const Right &amp;rhs, WrappedAdjointWorkspace&lt; Matrix &gt; &amp;work, Eigen::VectorXd &amp;out)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:142</div></div>
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@@ -71,14 +71,14 @@
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 <div class="contents">
-&#160;<ul>
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+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_a8bf133aa882213086e986d614b602f43"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#a8bf133aa882213086e986d614b602f43">irlba::ParallelSparseMatrix::realize</a></div><div class="ttdeci">Eigen::MatrixXd realize() const</div><div class="ttdef"><b>Definition</b> parallel.hpp:389</div></div>
+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_aaeb55c355bb8a5f2192195068d361191"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#aaeb55c355bb8a5f2192195068d361191">irlba::ParallelSparseMatrix::get_indices</a></div><div class="ttdeci">const IndexArray &amp; get_indices() const</div><div class="ttdef"><b>Definition</b> parallel.hpp:116</div></div>
+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_ac54daf205fe2ed9ae391eb9920a59423"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#ac54daf205fe2ed9ae391eb9920a59423">irlba::ParallelSparseMatrix::PointerType</a></div><div class="ttdeci">std::remove_const&lt; typenamestd::remove_reference&lt; decltype(ptrs[0])&gt;::type &gt;::type PointerType</div><div class="ttdef"><b>Definition</b> parallel.hpp:160</div></div>
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+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_ace0a9677ba2415af992719ef0ff88ef5"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#ace0a9677ba2415af992719ef0ff88ef5">irlba::ParallelSparseMatrix::Workspace</a></div><div class="ttdeci">bool Workspace</div><div class="ttdef"><b>Definition</b> parallel.hpp:326</div></div>
+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_ada2fd9d0ab3fa3acde0b15de3ac28163"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#ada2fd9d0ab3fa3acde0b15de3ac28163">irlba::ParallelSparseMatrix::adjoint_multiply</a></div><div class="ttdeci">void adjoint_multiply(const Right &amp;rhs, AdjointWorkspace &amp;work, Eigen::VectorXd &amp;output) const</div><div class="ttdef"><b>Definition</b> parallel.hpp:377</div></div>
+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_ae35f9d60c227dded2504eebe460d2404"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#ae35f9d60c227dded2504eebe460d2404">irlba::ParallelSparseMatrix::adjoint_workspace</a></div><div class="ttdeci">bool adjoint_workspace() const</div><div class="ttdef"><b>Definition</b> parallel.hpp:344</div></div>
+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_aede6b0baadeb52d351c25ab9f24da3dd"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#aede6b0baadeb52d351c25ab9f24da3dd">irlba::ParallelSparseMatrix::workspace</a></div><div class="ttdeci">bool workspace() const</div><div class="ttdef"><b>Definition</b> parallel.hpp:331</div></div>
+<div class="ttc" id="aclassirlba_1_1ParallelSparseMatrix_html_aef7c9975f6f83ca4c0f6d702e561c14a"><div class="ttname"><a href="classirlba_1_1ParallelSparseMatrix.html#aef7c9975f6f83ca4c0f6d702e561c14a">irlba::ParallelSparseMatrix::get_values</a></div><div class="ttdeci">const ValueArray &amp; get_values() const</div><div class="ttdef"><b>Definition</b> parallel.hpp:108</div></div>
+<div class="ttc" id="anamespaceirlba_html"><div class="ttname"><a href="namespaceirlba.html">irlba</a></div><div class="ttdoc">Implements the IRLBA algorithm for approximate SVD.</div><div class="ttdef"><b>Definition</b> irlba.hpp:22</div></div>
 <div class="ttc" id="autils_8hpp_html"><div class="ttname"><a href="utils_8hpp.html">utils.hpp</a></div><div class="ttdoc">Various utility functions.</div></div>
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index 14ab08a..bf3c291 100644
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index baa33bd..49e7f0e 100644
--- a/docs/search/functions_a.js
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index 8310e23..99856bc 100644
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index 17b477e..f3be4e9 100644
--- a/docs/search/functions_c.js
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@@ -1,6 +1,6 @@
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index 9f46b30..ffb6cf0 100644
--- a/docs/search/mag.svg
+++ b/docs/search/mag.svg
@@ -1,27 +1,14 @@
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-   xmlns:svg="http://www.w3.org/2000/svg"
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+   xmlns:xlink="http://www.w3.org/1999/xlink"
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index b9a814c..4122773 100644
--- a/docs/search/mag_d.svg
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@@ -1,27 +1,14 @@
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-   xmlns:svg="http://www.w3.org/2000/svg"
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+   xmlns:xlink="http://www.w3.org/1999/xlink"
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index 03626f6..553dba8 100644
--- a/docs/search/mag_sel.svg
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@@ -1,59 +1,17 @@
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-        <dc:title></dc:title>
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-    </rdf:RDF>
-  </metadata>
+  >
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index 6e720dc..c906f84 100644
--- a/docs/search/mag_seld.svg
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@@ -1,74 +1,31 @@
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-   sodipodi:docname="mag_sel.svg"
-   inkscape:version="0.92.5 (2060ec1f9f, 2020-04-08)">
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-        <dc:title></dc:title>
-      </cc:Work>
-    </rdf:RDF>
-  </metadata>
+  >
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-  <sodipodi:namedview
-     pagecolor="#ffffff"
-     bordercolor="#666666"
-     borderopacity="1"
-     objecttolerance="10"
-     gridtolerance="10"
-     guidetolerance="10"
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-     inkscape:pageshadow="2"
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   <circle
-     style="fill:#000000;fill-opacity:0;stroke:#C5C5C5;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none"
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      id="path4611"
      cx="5.5"
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   <path
-     style="fill:#C5C5C5;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
+     style="fill:#c5C5C5;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
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-     inkscape:connector-curvature="0"
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-     style="fill:none;stroke:#C5C5C5;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+     style="fill:none;stroke:#c5C5C5;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
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diff --git a/docs/search/search.js b/docs/search/search.js
index e103a26..9b7a52a 100644
--- a/docs/search/search.js
+++ b/docs/search/search.js
@@ -156,7 +156,7 @@ function SearchBox(name, resultsPath, extension)
 
   this.OnSearchSelectHide = function()
   {
-    this.hideTimeout = setTimeout(this.name +".CloseSelectionWindow()",
+    this.hideTimeout = setTimeout(this.CloseSelectionWindow.bind(this),
                                   this.closeSelectionTimeout);
   }
 
@@ -211,7 +211,7 @@ function SearchBox(name, resultsPath, extension)
       if (searchValue != "") // non-empty search
       {
         // set timer for search update
-        this.keyTimeout = setTimeout(this.name + '.Search()',
+        this.keyTimeout = setTimeout(this.Search.bind(this),
                                      this.keyTimeoutLength);
       }
       else // empty search field
@@ -356,7 +356,11 @@ function SearchBox(name, resultsPath, extension)
         document.getElementById("NoMatches").style.display="none";
       }
  
-      searchResults.Search(searchValue);
+      if (idx!=-1) {
+        searchResults.Search(searchValue);
+      } else { // no file with search results => force empty search results
+        searchResults.Search('====');
+      }
 
       if (domPopupSearchResultsWindow.style.display!='block')
       {
diff --git a/docs/search/searchdata.js b/docs/search/searchdata.js
index 7291490..72c9205 100644
--- a/docs/search/searchdata.js
+++ b/docs/search/searchdata.js
@@ -1,7 +1,7 @@
 var indexSectionsWithContent =
 {
   0: "acdefgilmnoprsuvw",
-  1: "cdeilprsw",
+  1: "cdeilprs",
   2: "i",
   3: "ilpuw",
   4: "acefgimnoprsw",
diff --git a/docs/search/typedefs_0.js b/docs/search/typedefs_0.js
index f0b68ea..df29f60 100644
--- a/docs/search/typedefs_0.js
+++ b/docs/search/typedefs_0.js
@@ -1,4 +1,4 @@
 var searchData=
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+  ['adjointworkspace_0',['AdjointWorkspace',['../classirlba_1_1ParallelSparseMatrix.html#a3bb0c5f91e0839013a9b21e4c7f43c58',1,'irlba::ParallelSparseMatrix::AdjointWorkspace'],['../structirlba_1_1Centered.html#a13b2ec774d429f0f00baaea0c413d087',1,'irlba::Centered::AdjointWorkspace']]]
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diff --git a/docs/search/typedefs_2.js b/docs/search/typedefs_2.js
index 4f5a081..8aba93f 100644
--- a/docs/search/typedefs_2.js
+++ b/docs/search/typedefs_2.js
@@ -1,6 +1,6 @@
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+  ['workspace_0',['Workspace',['../classirlba_1_1ParallelSparseMatrix.html#ace0a9677ba2415af992719ef0ff88ef5',1,'irlba::ParallelSparseMatrix::Workspace'],['../structirlba_1_1Centered.html#aa86585b7bae6f19ae08d9a4baebc84fa',1,'irlba::Centered::Workspace']]],
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index 7ac0772..8f6c398 100644
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@@ -3,7 +3,7 @@
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+<meta name="generator" content="Doxygen 1.9.7"/>
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+<title>irlba: irlba::Scaled&lt; Matrix_, column_, divide_ &gt; Struct Template Reference</title>
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 </div><!-- top -->
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-<a href="#nested-classes">Classes</a> &#124;
-<a href="#pub-types">Public Types</a> &#124;
 <a href="#pub-methods">Public Member Functions</a> &#124;
 <a href="structirlba_1_1Scaled-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">irlba::Scaled&lt; Matrix &gt; Struct Template Reference</div></div>
+  <div class="headertitle"><div class="title">irlba::Scaled&lt; Matrix_, column_, divide_ &gt; Struct Template Reference</div></div>
 </div><!--header-->
 <div class="contents">
 
@@ -89,82 +87,39 @@
 
 <p><code>#include &lt;<a class="el" href="wrappers_8hpp_source.html">wrappers.hpp</a>&gt;</code></p>
 <table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="nested-classes" name="nested-classes"></a>
-Classes</h2></td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a></td></tr>
-<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="structirlba_1_1Scaled_1_1Workspace.html" title="Workspace type for multiply().">Workspace</a> type for <code><a class="el" href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">multiply()</a></code>.  <a href="structirlba_1_1Scaled_1_1Workspace.html#details">More...</a><br /></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-types" name="pub-types"></a>
-Public Types</h2></td></tr>
-<tr class="memitem:ababb690413e72bbc8ca3c95beb71fb27"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="namespaceirlba.html#abf539bafcd5bf49b8106fa00b7cf61a3">WrappedAdjointWorkspace</a>&lt; Matrix &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a></td></tr>
-<tr class="separator:ababb690413e72bbc8ca3c95beb71fb27"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
 Public Member Functions</h2></td></tr>
-<tr class="memitem:a9611b6038bccab2a73e506b6e589a054"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#a9611b6038bccab2a73e506b6e589a054">Scaled</a> (const Matrix *m, const Eigen::VectorXd *s)</td></tr>
-<tr class="separator:a9611b6038bccab2a73e506b6e589a054"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3761d433857f80dc429c8e0383b14afe"><td class="memItemLeft" align="right" valign="top">auto&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#a3761d433857f80dc429c8e0383b14afe">rows</a> () const</td></tr>
-<tr class="separator:a3761d433857f80dc429c8e0383b14afe"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a543a8bbee1f05c3ba1f425a0470f0c18"><td class="memItemLeft" align="right" valign="top">auto&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#a543a8bbee1f05c3ba1f425a0470f0c18">cols</a> () const</td></tr>
-<tr class="separator:a543a8bbee1f05c3ba1f425a0470f0c18"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0ad062d5091c3d8a9537e1f4debe669a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#a0ad062d5091c3d8a9537e1f4debe669a">workspace</a> () const</td></tr>
-<tr class="separator:a0ad062d5091c3d8a9537e1f4debe669a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a788c7506f44903b02a54eb5d6dfa1495"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#a788c7506f44903b02a54eb5d6dfa1495">adjoint_workspace</a> () const</td></tr>
-<tr class="separator:a788c7506f44903b02a54eb5d6dfa1495"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae6aad1514b9002960a79f00a03297c6d"><td class="memTemplParams" colspan="2">template&lt;class Right &gt; </td></tr>
-<tr class="memitem:ae6aad1514b9002960a79f00a03297c6d"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">multiply</a> (const Right &amp;rhs, <a class="el" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a> &amp;work, Eigen::VectorXd &amp;out) const</td></tr>
-<tr class="separator:ae6aad1514b9002960a79f00a03297c6d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae66efb96f32ac2e257bcd629d78895b5"><td class="memTemplParams" colspan="2">template&lt;class Right &gt; </td></tr>
-<tr class="memitem:ae66efb96f32ac2e257bcd629d78895b5"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">adjoint_multiply</a> (const Right &amp;rhs, <a class="el" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a> &amp;work, Eigen::VectorXd &amp;out) const</td></tr>
-<tr class="separator:ae66efb96f32ac2e257bcd629d78895b5"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae4ef87991458b845f35f719ae662164f"><td class="memItemLeft" align="right" valign="top">Eigen::MatrixXd&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#ae4ef87991458b845f35f719ae662164f">realize</a> () const</td></tr>
-<tr class="separator:ae4ef87991458b845f35f719ae662164f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1b2c01cf3f066d871702fec3948cfaa3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structirlba_1_1Scaled.html#a1b2c01cf3f066d871702fec3948cfaa3">Scaled</a> (const Matrix_ *m, const Eigen::VectorXd *s)</td></tr>
+<tr class="separator:a1b2c01cf3f066d871702fec3948cfaa3"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table>
 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock"><div class="compoundTemplParams">template&lt;class Matrix&gt;<br />
-struct irlba::Scaled&lt; Matrix &gt;</div><p>Wrapper for a scaled matrix. </p>
+<div class="textblock"><div class="compoundTemplParams">template&lt;class Matrix_, bool column_ = true, bool divide_ = true&gt;<br />
+struct irlba::Scaled&lt; Matrix_, column_, divide_ &gt;</div><p>Wrapper for a scaled matrix. </p>
 <dl class="tparams"><dt>Template Parameters</dt><dd>
   <table class="tparams">
-    <tr><td class="paramname">Matrix</td><td>An <b>Eigen</b> matrix class - or alternatively, a wrapper class around such a class.</td></tr>
+    <tr><td class="paramname">Matrix_</td><td>The underlying <b>Eigen</b> matrix class - or alternatively, a wrapper class around such a class. </td></tr>
+    <tr><td class="paramname">column_</td><td>Whether to scale the columns. If <code>false</code>, scaling is applied to the rows instead. </td></tr>
+    <tr><td class="paramname">divide_</td><td>Whether to divide by the supplied scaling factors.</td></tr>
   </table>
   </dd>
 </dl>
-<p>This modification involves scaling all columns, i.e., dividing the values of each column by the standard deviation of that column to achieve unit variance. Naively doing such an operation would involve a copy of the matrix, which we avoid by deferring the scaling into the subspace defined by <code>rhs</code>. </p>
-</div><h2 class="groupheader">Member Typedef Documentation</h2>
-<a id="ababb690413e72bbc8ca3c95beb71fb27" name="ababb690413e72bbc8ca3c95beb71fb27"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ababb690413e72bbc8ca3c95beb71fb27">&#9670;&#160;</a></span>AdjointWorkspace</h2>
+<p>This modification involves scaling all rows or columns, i.e., multiplying or dividing the values of each row/column by some arbitrary value. For example, we can use this to divide each column by the standard deviation to achieve unit variance in principal components analyses. Naively doing such an operation would involve a copy of the matrix, which we avoid by deferring the scaling into the subspace defined by <code>rhs</code>. </p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a1b2c01cf3f066d871702fec3948cfaa3" name="a1b2c01cf3f066d871702fec3948cfaa3"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1b2c01cf3f066d871702fec3948cfaa3">&#9670;&#160;</a></span>Scaled()</h2>
 
 <div class="memitem">
 <div class="memproto">
 <div class="memtemplate">
-template&lt;class Matrix &gt; </div>
-      <table class="memname">
-        <tr>
-          <td class="memname">typedef <a class="el" href="namespaceirlba.html#abf539bafcd5bf49b8106fa00b7cf61a3">WrappedAdjointWorkspace</a>&lt;Matrix&gt; <a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix &gt;::AdjointWorkspace</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-<p><a class="el" href="structirlba_1_1Scaled_1_1Workspace.html" title="Workspace type for multiply().">Workspace</a> type for <code><a class="el" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">adjoint_multiply()</a></code>. Currently, this is just an alias for the adjoint workspace type of the underlying matrix. </p>
-
-</div>
-</div>
-<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a9611b6038bccab2a73e506b6e589a054" name="a9611b6038bccab2a73e506b6e589a054"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9611b6038bccab2a73e506b6e589a054">&#9670;&#160;</a></span>Scaled()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<div class="memtemplate">
-template&lt;class Matrix &gt; </div>
+template&lt;class Matrix_ , bool column_ = true, bool divide_ = true&gt; </div>
 <table class="mlabels">
   <tr>
   <td class="mlabels-left">
       <table class="memname">
         <tr>
-          <td class="memname"><a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix &gt;::Scaled </td>
+          <td class="memname"><a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix_, column_, divide_ &gt;::Scaled </td>
           <td>(</td>
-          <td class="paramtype">const Matrix *&#160;</td>
+          <td class="paramtype">const Matrix_ *&#160;</td>
           <td class="paramname"><em>m</em>, </td>
         </tr>
         <tr>
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 </div><div class="memdoc">
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
-    <tr><td class="paramname">m</td><td>Underlying matrix to be column-scaled. </td></tr>
-    <tr><td class="paramname">s</td><td>Vector of length equal to the number of columns of <code>m</code>, containing the value to scale each column. </td></tr>
-  </table>
-  </dd>
-</dl>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="ae66efb96f32ac2e257bcd629d78895b5" name="ae66efb96f32ac2e257bcd629d78895b5"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae66efb96f32ac2e257bcd629d78895b5">&#9670;&#160;</a></span>adjoint_multiply()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<div class="memtemplate">
-template&lt;class Matrix &gt; </div>
-<div class="memtemplate">
-template&lt;class Right &gt; </div>
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void <a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix &gt;::adjoint_multiply </td>
-          <td>(</td>
-          <td class="paramtype">const Right &amp;&#160;</td>
-          <td class="paramname"><em>rhs</em>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype"><a class="el" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a> &amp;&#160;</td>
-          <td class="paramname"><em>work</em>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">Eigen::VectorXd &amp;&#160;</td>
-          <td class="paramname"><em>out</em>&#160;</td>
-        </tr>
-        <tr>
-          <td></td>
-          <td>)</td>
-          <td></td><td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-<dl class="tparams"><dt>Template Parameters</dt><dd>
-  <table class="tparams">
-    <tr><td class="paramname">Right</td><td>An <code>Eigen::VectorXd</code> or equivalent expression.</td></tr>
+    <tr><td class="paramname">m</td><td>Underlying matrix to be column-scaled (if <code>column_ = true</code>) or row-scaled (otherwise). </td></tr>
+    <tr><td class="paramname">s</td><td>Vector of length equal to the number of columns (if <code>column_ = true</code>) or rows (otherwise) of <code>m</code>, containing the scaling factor to divide (if <code>divide_ = true</code>) or multiply (otherwise) to each column/row. </td></tr>
   </table>
   </dd>
 </dl>
-<dl class="params"><dt>Parameters</dt><dd>
-  <table class="params">
-    <tr><td class="paramdir">[in]</td><td class="paramname">rhs</td><td>The right-hand side of the matrix product. This should be a vector or have only one column. </td></tr>
-    <tr><td class="paramdir"></td><td class="paramname">work</td><td>The return value of <code><a class="el" href="structirlba_1_1Scaled.html#a788c7506f44903b02a54eb5d6dfa1495">adjoint_workspace()</a></code>. This can be reused across multiple <code><a class="el" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">adjoint_multiply()</a></code> calls. </td></tr>
-    <tr><td class="paramdir">[out]</td><td class="paramname">out</td><td>The output vector to store the matrix product. This is filled with the product of the transpose of this matrix and <code>rhs</code>. </td></tr>
-  </table>
-  </dd>
-</dl>
-
-</div>
-</div>
-<a id="a788c7506f44903b02a54eb5d6dfa1495" name="a788c7506f44903b02a54eb5d6dfa1495"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a788c7506f44903b02a54eb5d6dfa1495">&#9670;&#160;</a></span>adjoint_workspace()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<div class="memtemplate">
-template&lt;class Matrix &gt; </div>
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a> <a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix &gt;::adjoint_workspace </td>
-          <td>(</td>
-          <td class="paramname"></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
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-<dl class="section return"><dt>Returns</dt><dd><a class="el" href="structirlba_1_1Scaled_1_1Workspace.html" title="Workspace type for multiply().">Workspace</a> for use in <code><a class="el" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">adjoint_multiply()</a></code>. </dd></dl>
-
-</div>
-</div>
-<a id="a543a8bbee1f05c3ba1f425a0470f0c18" name="a543a8bbee1f05c3ba1f425a0470f0c18"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a543a8bbee1f05c3ba1f425a0470f0c18">&#9670;&#160;</a></span>cols()</h2>
-
-<div class="memitem">
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-<div class="memtemplate">
-template&lt;class Matrix &gt; </div>
-<table class="mlabels">
-  <tr>
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-      <table class="memname">
-        <tr>
-          <td class="memname">auto <a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix &gt;::cols </td>
-          <td>(</td>
-          <td class="paramname"></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
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-<dl class="section return"><dt>Returns</dt><dd>Number of columns in the matrix. </dd></dl>
-
-</div>
-</div>
-<a id="ae6aad1514b9002960a79f00a03297c6d" name="ae6aad1514b9002960a79f00a03297c6d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae6aad1514b9002960a79f00a03297c6d">&#9670;&#160;</a></span>multiply()</h2>
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-template&lt;class Matrix &gt; </div>
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-template&lt;class Right &gt; </div>
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-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void <a class="el" href="structirlba_1_1Scaled.html">irlba::Scaled</a>&lt; Matrix &gt;::multiply </td>
-          <td>(</td>
-          <td class="paramtype">const Right &amp;&#160;</td>
-          <td class="paramname"><em>rhs</em>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype"><a class="el" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a> &amp;&#160;</td>
-          <td class="paramname"><em>work</em>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">Eigen::VectorXd &amp;&#160;</td>
-          <td class="paramname"><em>out</em>&#160;</td>
-        </tr>
-        <tr>
-          <td></td>
-          <td>)</td>
-          <td></td><td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-<dl class="tparams"><dt>Template Parameters</dt><dd>
-  <table class="tparams">
-    <tr><td class="paramname">Right</td><td>An <code>Eigen::VectorXd</code> or equivalent expression.</td></tr>
-  </table>
-  </dd>
-</dl>
-<dl class="params"><dt>Parameters</dt><dd>
-  <table class="params">
-    <tr><td class="paramdir">[in]</td><td class="paramname">rhs</td><td>The right-hand side of the matrix product. This should be a vector or have only one column. </td></tr>
-    <tr><td class="paramdir"></td><td class="paramname">work</td><td>The return value of <code><a class="el" href="structirlba_1_1Scaled.html#a0ad062d5091c3d8a9537e1f4debe669a">workspace()</a></code>. This can be reused across multiple <code><a class="el" href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">multiply()</a></code> calls. </td></tr>
-    <tr><td class="paramdir">[out]</td><td class="paramname">out</td><td>The output vector to store the matrix product. This is filled with the product of this matrix and <code>rhs</code>. </td></tr>
-  </table>
-  </dd>
-</dl>
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@@ -211,103 +211,141 @@
 <div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>    <span class="keyword">const</span> Eigen::VectorXd* center;</div>
 <div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>};</div>
 <div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span> </div>
-<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span><span class="keyword">template</span>&lt;<span class="keyword">class</span> Matrix&gt;</div>
-<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html">  283</a></span><span class="keyword">struct </span><a class="code hl_struct" href="structirlba_1_1Scaled.html">Scaled</a> {</div>
-<div class="line"><a id="l00289" name="l00289"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#a9611b6038bccab2a73e506b6e589a054">  289</a></span>    <a class="code hl_function" href="structirlba_1_1Scaled.html#a9611b6038bccab2a73e506b6e589a054">Scaled</a>(<span class="keyword">const</span> Matrix* m, <span class="keyword">const</span> Eigen::VectorXd* s) : mat(m), scale(s) {}</div>
-<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span> </div>
-<div class="line"><a id="l00294" name="l00294"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#a3761d433857f80dc429c8e0383b14afe">  294</a></span>    <span class="keyword">auto</span> <a class="code hl_function" href="structirlba_1_1Scaled.html#a3761d433857f80dc429c8e0383b14afe">rows</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> mat-&gt;rows(); }</div>
-<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span> </div>
-<div class="line"><a id="l00299" name="l00299"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#a543a8bbee1f05c3ba1f425a0470f0c18">  299</a></span>    <span class="keyword">auto</span> <a class="code hl_function" href="structirlba_1_1Scaled.html#a543a8bbee1f05c3ba1f425a0470f0c18">cols</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> mat-&gt;cols(); }</div>
-<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span> </div>
-<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span><span class="keyword">public</span>:</div>
-<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled_1_1Workspace.html">  305</a></span>    <span class="keyword">struct </span><a class="code hl_struct" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a> {</div>
-<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>        <a class="code hl_struct" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a>(<span class="keywordtype">size_t</span> n, <a class="code hl_typedef" href="namespaceirlba.html#a06d0182fc36d37483e1c4731b966cf16">WrappedWorkspace&lt;Matrix&gt;</a> c) : product(n), child(std::move(c)) {}</div>
-<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>        Eigen::VectorXd product;</div>
-<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>        <a class="code hl_typedef" href="namespaceirlba.html#a06d0182fc36d37483e1c4731b966cf16">WrappedWorkspace&lt;Matrix&gt;</a> child;</div>
-<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>    };</div>
+<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span><span class="keyword">template</span>&lt;<span class="keyword">class</span> Matrix_, <span class="keywordtype">bool</span> column_ = true, <span class="keywordtype">bool</span> div<span class="keywordtype">id</span>e_ = true&gt;</div>
+<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html">  287</a></span><span class="keyword">struct </span><a class="code hl_struct" href="structirlba_1_1Scaled.html">Scaled</a> {</div>
+<div class="line"><a id="l00293" name="l00293"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#a1b2c01cf3f066d871702fec3948cfaa3">  293</a></span>    <a class="code hl_function" href="structirlba_1_1Scaled.html#a1b2c01cf3f066d871702fec3948cfaa3">Scaled</a>(<span class="keyword">const</span> Matrix_* m, <span class="keyword">const</span> Eigen::VectorXd* s) : mat(m), scale(s) {}</div>
+<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span> </div>
+<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span>    <span class="keyword">auto</span> rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> mat-&gt;rows(); }</div>
+<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span> </div>
+<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>    <span class="keyword">auto</span> cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> mat-&gt;cols(); }</div>
+<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span><span class="keyword">public</span>:</div>
+<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>    <span class="keyword">struct </span>BufferedWorkspace {</div>
+<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>        BufferedWorkspace(<span class="keywordtype">size_t</span> n, WrappedWorkspace&lt;Matrix_&gt; c) : buffer(n), child(std::move(c)) {}</div>
+<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>        Eigen::VectorXd buffer;</div>
+<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span>        WrappedWorkspace&lt;Matrix_&gt; child;</div>
+<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>    };</div>
+<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span> </div>
+<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> std::conditional&lt;column_, BufferedWorkspace, WrappedWorkspace&lt;Matrix_&gt; &gt;::type Workspace;</div>
 <div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span> </div>
-<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#a0ad062d5091c3d8a9537e1f4debe669a">  320</a></span>    <a class="code hl_struct" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a> <a class="code hl_function" href="structirlba_1_1Scaled.html#a0ad062d5091c3d8a9537e1f4debe669a">workspace</a>()<span class="keyword"> const </span>{</div>
-<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>        <span class="keywordflow">return</span> <a class="code hl_struct" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a>(mat-&gt;cols(), <a class="code hl_function" href="namespaceirlba.html#afb93f4e9565318e79782c847fbebe16b">wrapped_workspace</a>(mat));</div>
-<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>    }</div>
-<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span> </div>
-<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">  328</a></span>    <span class="keyword">typedef</span> <a class="code hl_typedef" href="namespaceirlba.html#abf539bafcd5bf49b8106fa00b7cf61a3">WrappedAdjointWorkspace&lt;Matrix&gt;</a> <a class="code hl_typedef" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a>;</div>
-<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span> </div>
-<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#a788c7506f44903b02a54eb5d6dfa1495">  333</a></span>    <a class="code hl_typedef" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a> <a class="code hl_function" href="structirlba_1_1Scaled.html#a788c7506f44903b02a54eb5d6dfa1495">adjoint_workspace</a>()<span class="keyword"> const </span>{</div>
-<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceirlba.html#a2afbaa693ad02acc03ee74a3ea084630">wrapped_adjoint_workspace</a>(mat);</div>
-<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>    }</div>
-<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span> </div>
-<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span><span class="keyword">public</span>:</div>
-<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Right&gt;</div>
-<div class="line"><a id="l00349" name="l00349"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">  349</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">multiply</a>(<span class="keyword">const</span> Right&amp; rhs, <a class="code hl_struct" href="structirlba_1_1Scaled_1_1Workspace.html">Workspace</a>&amp; work, Eigen::VectorXd&amp; out)<span class="keyword"> const </span>{</div>
-<div class="line"><a id="l00350" name="l00350"></a><span class="lineno">  350</span>        <span class="comment">// We store the result here, because the underlying matrix&#39;s multiply()</span></div>
-<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span>        <span class="comment">// might need to access rhs/scale multiple times, especially if it&#39;s</span></div>
-<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>        <span class="comment">// parallelized. Better to pay the cost of accessing a separate memory</span></div>
-<div class="line"><a id="l00353" name="l00353"></a><span class="lineno">  353</span>        <span class="comment">// space than computing the quotient repeatedly.</span></div>
-<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span>        work.product = rhs.cwiseQuotient(*scale);</div>
-<div class="line"><a id="l00355" name="l00355"></a><span class="lineno">  355</span>        <a class="code hl_function" href="namespaceirlba.html#a944729e08e958d309cce1d66761e88c6">wrapped_multiply</a>(mat, work.product, work.child, out);</div>
-<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span>        <span class="keywordflow">return</span>;</div>
-<div class="line"><a id="l00357" name="l00357"></a><span class="lineno">  357</span>    }</div>
-<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span> </div>
-<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Right&gt;</div>
-<div class="line"><a id="l00370" name="l00370"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">  370</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">adjoint_multiply</a>(<span class="keyword">const</span> Right&amp; rhs, <a class="code hl_typedef" href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">AdjointWorkspace</a>&amp; work, Eigen::VectorXd&amp; out)<span class="keyword"> const </span>{</div>
-<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span>        <a class="code hl_function" href="namespaceirlba.html#adb3751dd2a2de0754fe92d25a658b45c">wrapped_adjoint_multiply</a>(mat, rhs, work, out);</div>
-<div class="line"><a id="l00372" name="l00372"></a><span class="lineno">  372</span>        out.noalias() = out.cwiseQuotient(*scale);</div>
-<div class="line"><a id="l00373" name="l00373"></a><span class="lineno">  373</span>        <span class="keywordflow">return</span>;</div>
-<div class="line"><a id="l00374" name="l00374"></a><span class="lineno">  374</span>    }</div>
+<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>    Workspace workspace()<span class="keyword"> const </span>{</div>
+<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>        <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(column_) {</div>
+<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span>            <span class="keywordflow">return</span> BufferedWorkspace(mat-&gt;cols(), <a class="code hl_function" href="namespaceirlba.html#afb93f4e9565318e79782c847fbebe16b">wrapped_workspace</a>(mat));</div>
+<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>        } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>            <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceirlba.html#afb93f4e9565318e79782c847fbebe16b">wrapped_workspace</a>(mat);</div>
+<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>        }</div>
+<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>    }</div>
+<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span> </div>
+<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> std::conditional&lt;column_, WrappedAdjointWorkspace&lt;Matrix_&gt;, BufferedWorkspace&gt;::type AdjointWorkspace;</div>
+<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span> </div>
+<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span>    AdjointWorkspace adjoint_workspace()<span class="keyword"> const </span>{</div>
+<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span>        <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(column_) {</div>
+<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span>            <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceirlba.html#a2afbaa693ad02acc03ee74a3ea084630">wrapped_adjoint_workspace</a>(mat);</div>
+<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span>        } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span>            <span class="keywordflow">return</span> BufferedWorkspace(mat-&gt;rows(), <a class="code hl_function" href="namespaceirlba.html#a2afbaa693ad02acc03ee74a3ea084630">wrapped_adjoint_workspace</a>(mat));</div>
+<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span>        }</div>
+<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>    }</div>
+<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span><span class="keyword">public</span>:</div>
+<div class="line"><a id="l00342" name="l00342"></a><span class="lineno">  342</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Right_&gt;</div>
+<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span>    <span class="keywordtype">void</span> multiply(<span class="keyword">const</span> Right_&amp; rhs, Workspace&amp; work, Eigen::VectorXd&amp; out)<span class="keyword"> const </span>{</div>
+<div class="line"><a id="l00344" name="l00344"></a><span class="lineno">  344</span>        <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(column_) {</div>
+<div class="line"><a id="l00345" name="l00345"></a><span class="lineno">  345</span>            <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(divide_) {</div>
+<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>                <span class="comment">// We store the result here, because the underlying matrix&#39;s multiply()</span></div>
+<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>                <span class="comment">// might need to access rhs/scale multiple times, especially if it&#39;s</span></div>
+<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span>                <span class="comment">// parallelized. Better to pay the cost of accessing a separate memory</span></div>
+<div class="line"><a id="l00349" name="l00349"></a><span class="lineno">  349</span>                <span class="comment">// space than computing the quotient repeatedly.</span></div>
+<div class="line"><a id="l00350" name="l00350"></a><span class="lineno">  350</span>                work.buffer = rhs.cwiseQuotient(*scale);</div>
+<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span>            } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>                work.buffer = rhs.cwiseProduct(*scale);</div>
+<div class="line"><a id="l00353" name="l00353"></a><span class="lineno">  353</span>            }</div>
+<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span>            <a class="code hl_function" href="namespaceirlba.html#a944729e08e958d309cce1d66761e88c6">wrapped_multiply</a>(mat, work.buffer, work.child, out);</div>
+<div class="line"><a id="l00355" name="l00355"></a><span class="lineno">  355</span> </div>
+<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span>        } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00357" name="l00357"></a><span class="lineno">  357</span>            <a class="code hl_function" href="namespaceirlba.html#a944729e08e958d309cce1d66761e88c6">wrapped_multiply</a>(mat, rhs, work, out);</div>
+<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span>            <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(divide_) {</div>
+<div class="line"><a id="l00359" name="l00359"></a><span class="lineno">  359</span>                out.array() /= scale-&gt;array();</div>
+<div class="line"><a id="l00360" name="l00360"></a><span class="lineno">  360</span>            } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00361" name="l00361"></a><span class="lineno">  361</span>                out.array() *= scale-&gt;array();</div>
+<div class="line"><a id="l00362" name="l00362"></a><span class="lineno">  362</span>            }</div>
+<div class="line"><a id="l00363" name="l00363"></a><span class="lineno">  363</span>        }</div>
+<div class="line"><a id="l00364" name="l00364"></a><span class="lineno">  364</span>    }</div>
+<div class="line"><a id="l00365" name="l00365"></a><span class="lineno">  365</span> </div>
+<div class="line"><a id="l00366" name="l00366"></a><span class="lineno">  366</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Right_&gt;</div>
+<div class="line"><a id="l00367" name="l00367"></a><span class="lineno">  367</span>    <span class="keywordtype">void</span> adjoint_multiply(<span class="keyword">const</span> Right_&amp; rhs, AdjointWorkspace&amp; work, Eigen::VectorXd&amp; out)<span class="keyword"> const </span>{</div>
+<div class="line"><a id="l00368" name="l00368"></a><span class="lineno">  368</span>        <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(column_) {</div>
+<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span>            <a class="code hl_function" href="namespaceirlba.html#adb3751dd2a2de0754fe92d25a658b45c">wrapped_adjoint_multiply</a>(mat, rhs, work, out);</div>
+<div class="line"><a id="l00370" name="l00370"></a><span class="lineno">  370</span>            <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(divide_) {</div>
+<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span>                out.array() /= scale-&gt;array();</div>
+<div class="line"><a id="l00372" name="l00372"></a><span class="lineno">  372</span>            } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00373" name="l00373"></a><span class="lineno">  373</span>                out.array() *= scale-&gt;array();</div>
+<div class="line"><a id="l00374" name="l00374"></a><span class="lineno">  374</span>            }</div>
 <div class="line"><a id="l00375" name="l00375"></a><span class="lineno">  375</span> </div>
-<div class="line"><a id="l00380" name="l00380"></a><span class="lineno"><a class="line" href="structirlba_1_1Scaled.html#ae4ef87991458b845f35f719ae662164f">  380</a></span>    Eigen::MatrixXd <a class="code hl_function" href="structirlba_1_1Scaled.html#ae4ef87991458b845f35f719ae662164f">realize</a>()<span class="keyword"> const </span>{</div>
-<div class="line"><a id="l00381" name="l00381"></a><span class="lineno">  381</span>        Eigen::MatrixXd output = <a class="code hl_function" href="namespaceirlba.html#aa5b2aa0b925ead702a50c11eeb63cba5">wrapped_realize</a>(mat);</div>
-<div class="line"><a id="l00382" name="l00382"></a><span class="lineno">  382</span>        <span class="keywordflow">for</span> (Eigen::Index c = 0; c &lt; output.cols(); ++c) {</div>
-<div class="line"><a id="l00383" name="l00383"></a><span class="lineno">  383</span>            <span class="keywordflow">for</span> (Eigen::Index r = 0; r &lt; output.rows(); ++r) {</div>
-<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span>                output(r, c) /= (*scale)[c];</div>
-<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span>            }</div>
-<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span>        }</div>
-<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>        <span class="keywordflow">return</span> output;</div>
-<div class="line"><a id="l00388" name="l00388"></a><span class="lineno">  388</span>    }</div>
-<div class="line"><a id="l00389" name="l00389"></a><span class="lineno">  389</span> </div>
-<div class="line"><a id="l00390" name="l00390"></a><span class="lineno">  390</span><span class="keyword">private</span>:</div>
-<div class="line"><a id="l00391" name="l00391"></a><span class="lineno">  391</span>    <span class="keyword">const</span> Matrix* mat;</div>
-<div class="line"><a id="l00392" name="l00392"></a><span class="lineno">  392</span>    <span class="keyword">const</span> Eigen::VectorXd* scale;</div>
-<div class="line"><a id="l00393" name="l00393"></a><span class="lineno">  393</span>};</div>
-<div class="line"><a id="l00394" name="l00394"></a><span class="lineno">  394</span> </div>
-<div class="line"><a id="l00395" name="l00395"></a><span class="lineno">  395</span>}</div>
-<div class="line"><a id="l00396" name="l00396"></a><span class="lineno">  396</span> </div>
-<div class="line"><a id="l00397" name="l00397"></a><span class="lineno">  397</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="anamespaceirlba_html"><div class="ttname"><a href="namespaceirlba.html">irlba</a></div><div class="ttdoc">Implements the IRLBA algorithm for approximate SVD.</div><div class="ttdef"><b>Definition:</b> irlba.hpp:22</div></div>
-<div class="ttc" id="anamespaceirlba_html_a06d0182fc36d37483e1c4731b966cf16"><div class="ttname"><a href="namespaceirlba.html#a06d0182fc36d37483e1c4731b966cf16">irlba::WrappedWorkspace</a></div><div class="ttdeci">typename WrappedWorkspaceInternal&lt; Matrix &gt;::type WrappedWorkspace</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:74</div></div>
-<div class="ttc" id="anamespaceirlba_html_a2afbaa693ad02acc03ee74a3ea084630"><div class="ttname"><a href="namespaceirlba.html#a2afbaa693ad02acc03ee74a3ea084630">irlba::wrapped_adjoint_workspace</a></div><div class="ttdeci">WrappedAdjointWorkspace&lt; Matrix &gt; wrapped_adjoint_workspace(const Matrix *mat)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:104</div></div>
-<div class="ttc" id="anamespaceirlba_html_a944729e08e958d309cce1d66761e88c6"><div class="ttname"><a href="namespaceirlba.html#a944729e08e958d309cce1d66761e88c6">irlba::wrapped_multiply</a></div><div class="ttdeci">void wrapped_multiply(const Matrix *mat, const Right &amp;rhs, WrappedWorkspace&lt; Matrix &gt; &amp;work, Eigen::VectorXd &amp;out)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:123</div></div>
-<div class="ttc" id="anamespaceirlba_html_aa5b2aa0b925ead702a50c11eeb63cba5"><div class="ttname"><a href="namespaceirlba.html#aa5b2aa0b925ead702a50c11eeb63cba5">irlba::wrapped_realize</a></div><div class="ttdeci">Eigen::MatrixXd wrapped_realize(const Matrix *mat)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:156</div></div>
-<div class="ttc" id="anamespaceirlba_html_abf539bafcd5bf49b8106fa00b7cf61a3"><div class="ttname"><a href="namespaceirlba.html#abf539bafcd5bf49b8106fa00b7cf61a3">irlba::WrappedAdjointWorkspace</a></div><div class="ttdeci">typename WrappedAdjointWorkspaceInternal&lt; Matrix &gt;::type WrappedAdjointWorkspace</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:82</div></div>
-<div class="ttc" id="anamespaceirlba_html_adb3751dd2a2de0754fe92d25a658b45c"><div class="ttname"><a href="namespaceirlba.html#adb3751dd2a2de0754fe92d25a658b45c">irlba::wrapped_adjoint_multiply</a></div><div class="ttdeci">void wrapped_adjoint_multiply(const Matrix *mat, const Right &amp;rhs, WrappedAdjointWorkspace&lt; Matrix &gt; &amp;work, Eigen::VectorXd &amp;out)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:142</div></div>
-<div class="ttc" id="anamespaceirlba_html_afb93f4e9565318e79782c847fbebe16b"><div class="ttname"><a href="namespaceirlba.html#afb93f4e9565318e79782c847fbebe16b">irlba::wrapped_workspace</a></div><div class="ttdeci">WrappedWorkspace&lt; Matrix &gt; wrapped_workspace(const Matrix *mat)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:90</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html"><div class="ttname"><a href="structirlba_1_1Centered.html">irlba::Centered</a></div><div class="ttdoc">Wrapper for a centered matrix.</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:173</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a13b2ec774d429f0f00baaea0c413d087"><div class="ttname"><a href="structirlba_1_1Centered.html#a13b2ec774d429f0f00baaea0c413d087">irlba::Centered::AdjointWorkspace</a></div><div class="ttdeci">WrappedAdjointWorkspace&lt; Matrix &gt; AdjointWorkspace</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:209</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a25b700301187ffe9d12e5b6ba818f071"><div class="ttname"><a href="structirlba_1_1Centered.html#a25b700301187ffe9d12e5b6ba818f071">irlba::Centered::cols</a></div><div class="ttdeci">auto cols() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:189</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a55b851d87fb995a2a04d3a07e69121ee"><div class="ttname"><a href="structirlba_1_1Centered.html#a55b851d87fb995a2a04d3a07e69121ee">irlba::Centered::workspace</a></div><div class="ttdeci">Workspace workspace() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:201</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a5aff4cb0fd5911af49db22ec71eacac7"><div class="ttname"><a href="structirlba_1_1Centered.html#a5aff4cb0fd5911af49db22ec71eacac7">irlba::Centered::adjoint_multiply</a></div><div class="ttdeci">void adjoint_multiply(const Right &amp;rhs, AdjointWorkspace &amp;work, Eigen::VectorXd &amp;out) const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:248</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a700df2782062b93e673b5055adcf3195"><div class="ttname"><a href="structirlba_1_1Centered.html#a700df2782062b93e673b5055adcf3195">irlba::Centered::realize</a></div><div class="ttdeci">Eigen::MatrixXd realize() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:259</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a8210b60275f835adc8fed1f204012d9f"><div class="ttname"><a href="structirlba_1_1Centered.html#a8210b60275f835adc8fed1f204012d9f">irlba::Centered::multiply</a></div><div class="ttdeci">void multiply(const Right &amp;rhs, Workspace &amp;work, Eigen::VectorXd &amp;out) const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:229</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_a8e835ea0c77cc6eb75d5a257ae53eba8"><div class="ttname"><a href="structirlba_1_1Centered.html#a8e835ea0c77cc6eb75d5a257ae53eba8">irlba::Centered::Centered</a></div><div class="ttdeci">Centered(const Matrix *m, const Eigen::VectorXd *c)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:179</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_aa86585b7bae6f19ae08d9a4baebc84fa"><div class="ttname"><a href="structirlba_1_1Centered.html#aa86585b7bae6f19ae08d9a4baebc84fa">irlba::Centered::Workspace</a></div><div class="ttdeci">WrappedWorkspace&lt; Matrix &gt; Workspace</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:196</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_aac5fe8d8c706d670811c9d5e6c8bbf07"><div class="ttname"><a href="structirlba_1_1Centered.html#aac5fe8d8c706d670811c9d5e6c8bbf07">irlba::Centered::rows</a></div><div class="ttdeci">auto rows() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:184</div></div>
-<div class="ttc" id="astructirlba_1_1Centered_html_ae9cf9e63720540cdbe1cc880663f8c41"><div class="ttname"><a href="structirlba_1_1Centered.html#ae9cf9e63720540cdbe1cc880663f8c41">irlba::Centered::adjoint_workspace</a></div><div class="ttdeci">AdjointWorkspace adjoint_workspace() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:214</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_1_1Workspace_html"><div class="ttname"><a href="structirlba_1_1Scaled_1_1Workspace.html">irlba::Scaled::Workspace</a></div><div class="ttdoc">Workspace type for multiply().</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:305</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html"><div class="ttname"><a href="structirlba_1_1Scaled.html">irlba::Scaled</a></div><div class="ttdoc">Wrapper for a scaled matrix.</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:283</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_a0ad062d5091c3d8a9537e1f4debe669a"><div class="ttname"><a href="structirlba_1_1Scaled.html#a0ad062d5091c3d8a9537e1f4debe669a">irlba::Scaled::workspace</a></div><div class="ttdeci">Workspace workspace() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:320</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_a3761d433857f80dc429c8e0383b14afe"><div class="ttname"><a href="structirlba_1_1Scaled.html#a3761d433857f80dc429c8e0383b14afe">irlba::Scaled::rows</a></div><div class="ttdeci">auto rows() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:294</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_a543a8bbee1f05c3ba1f425a0470f0c18"><div class="ttname"><a href="structirlba_1_1Scaled.html#a543a8bbee1f05c3ba1f425a0470f0c18">irlba::Scaled::cols</a></div><div class="ttdeci">auto cols() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:299</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_a788c7506f44903b02a54eb5d6dfa1495"><div class="ttname"><a href="structirlba_1_1Scaled.html#a788c7506f44903b02a54eb5d6dfa1495">irlba::Scaled::adjoint_workspace</a></div><div class="ttdeci">AdjointWorkspace adjoint_workspace() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:333</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_a9611b6038bccab2a73e506b6e589a054"><div class="ttname"><a href="structirlba_1_1Scaled.html#a9611b6038bccab2a73e506b6e589a054">irlba::Scaled::Scaled</a></div><div class="ttdeci">Scaled(const Matrix *m, const Eigen::VectorXd *s)</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:289</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_ababb690413e72bbc8ca3c95beb71fb27"><div class="ttname"><a href="structirlba_1_1Scaled.html#ababb690413e72bbc8ca3c95beb71fb27">irlba::Scaled::AdjointWorkspace</a></div><div class="ttdeci">WrappedAdjointWorkspace&lt; Matrix &gt; AdjointWorkspace</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:328</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_ae4ef87991458b845f35f719ae662164f"><div class="ttname"><a href="structirlba_1_1Scaled.html#ae4ef87991458b845f35f719ae662164f">irlba::Scaled::realize</a></div><div class="ttdeci">Eigen::MatrixXd realize() const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:380</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_ae66efb96f32ac2e257bcd629d78895b5"><div class="ttname"><a href="structirlba_1_1Scaled.html#ae66efb96f32ac2e257bcd629d78895b5">irlba::Scaled::adjoint_multiply</a></div><div class="ttdeci">void adjoint_multiply(const Right &amp;rhs, AdjointWorkspace &amp;work, Eigen::VectorXd &amp;out) const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:370</div></div>
-<div class="ttc" id="astructirlba_1_1Scaled_html_ae6aad1514b9002960a79f00a03297c6d"><div class="ttname"><a href="structirlba_1_1Scaled.html#ae6aad1514b9002960a79f00a03297c6d">irlba::Scaled::multiply</a></div><div class="ttdeci">void multiply(const Right &amp;rhs, Workspace &amp;work, Eigen::VectorXd &amp;out) const</div><div class="ttdef"><b>Definition:</b> wrappers.hpp:349</div></div>
+<div class="line"><a id="l00376" name="l00376"></a><span class="lineno">  376</span>        } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00377" name="l00377"></a><span class="lineno">  377</span>            <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(divide_) {</div>
+<div class="line"><a id="l00378" name="l00378"></a><span class="lineno">  378</span>                work.buffer = rhs.cwiseQuotient(*scale);</div>
+<div class="line"><a id="l00379" name="l00379"></a><span class="lineno">  379</span>            } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00380" name="l00380"></a><span class="lineno">  380</span>                work.buffer = rhs.cwiseProduct(*scale);</div>
+<div class="line"><a id="l00381" name="l00381"></a><span class="lineno">  381</span>            }</div>
+<div class="line"><a id="l00382" name="l00382"></a><span class="lineno">  382</span>            <a class="code hl_function" href="namespaceirlba.html#adb3751dd2a2de0754fe92d25a658b45c">wrapped_adjoint_multiply</a>(mat, work.buffer, work.child, out);</div>
+<div class="line"><a id="l00383" name="l00383"></a><span class="lineno">  383</span>        }</div>
+<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span>    }</div>
+<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span> </div>
+<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span>    Eigen::MatrixXd realize()<span class="keyword"> const </span>{</div>
+<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>        Eigen::MatrixXd output = <a class="code hl_function" href="namespaceirlba.html#aa5b2aa0b925ead702a50c11eeb63cba5">wrapped_realize</a>(mat);</div>
+<div class="line"><a id="l00388" name="l00388"></a><span class="lineno">  388</span> </div>
+<div class="line"><a id="l00389" name="l00389"></a><span class="lineno">  389</span>        <span class="keywordflow">for</span> (Eigen::Index c = 0; c &lt; output.cols(); ++c) {</div>
+<div class="line"><a id="l00390" name="l00390"></a><span class="lineno">  390</span>            <span class="keywordflow">for</span> (Eigen::Index r = 0; r &lt; output.rows(); ++r) {</div>
+<div class="line"><a id="l00391" name="l00391"></a><span class="lineno">  391</span>                <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(column_) {</div>
+<div class="line"><a id="l00392" name="l00392"></a><span class="lineno">  392</span>                    <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(divide_) {</div>
+<div class="line"><a id="l00393" name="l00393"></a><span class="lineno">  393</span>                        output(r, c) /= (*scale)[c];</div>
+<div class="line"><a id="l00394" name="l00394"></a><span class="lineno">  394</span>                    } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00395" name="l00395"></a><span class="lineno">  395</span>                        output(r, c) *= (*scale)[c];</div>
+<div class="line"><a id="l00396" name="l00396"></a><span class="lineno">  396</span>                    }</div>
+<div class="line"><a id="l00397" name="l00397"></a><span class="lineno">  397</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00398" name="l00398"></a><span class="lineno">  398</span>                    <span class="keywordflow">if</span> <span class="keyword">constexpr</span>(divide_) {</div>
+<div class="line"><a id="l00399" name="l00399"></a><span class="lineno">  399</span>                        output(r, c) /= (*scale)[r];</div>
+<div class="line"><a id="l00400" name="l00400"></a><span class="lineno">  400</span>                    } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00401" name="l00401"></a><span class="lineno">  401</span>                        output(r, c) *= (*scale)[r];</div>
+<div class="line"><a id="l00402" name="l00402"></a><span class="lineno">  402</span>                    }</div>
+<div class="line"><a id="l00403" name="l00403"></a><span class="lineno">  403</span>                }</div>
+<div class="line"><a id="l00404" name="l00404"></a><span class="lineno">  404</span>            }</div>
+<div class="line"><a id="l00405" name="l00405"></a><span class="lineno">  405</span>        }</div>
+<div class="line"><a id="l00406" name="l00406"></a><span class="lineno">  406</span> </div>
+<div class="line"><a id="l00407" name="l00407"></a><span class="lineno">  407</span>        <span class="keywordflow">return</span> output;</div>
+<div class="line"><a id="l00408" name="l00408"></a><span class="lineno">  408</span>    }</div>
+<div class="line"><a id="l00413" name="l00413"></a><span class="lineno">  413</span><span class="keyword">private</span>:</div>
+<div class="line"><a id="l00414" name="l00414"></a><span class="lineno">  414</span>    <span class="keyword">const</span> Matrix_* mat;</div>
+<div class="line"><a id="l00415" name="l00415"></a><span class="lineno">  415</span>    <span class="keyword">const</span> Eigen::VectorXd* scale;</div>
+<div class="line"><a id="l00416" name="l00416"></a><span class="lineno">  416</span>};</div>
+<div class="line"><a id="l00417" name="l00417"></a><span class="lineno">  417</span> </div>
+<div class="line"><a id="l00418" name="l00418"></a><span class="lineno">  418</span>}</div>
+<div class="line"><a id="l00419" name="l00419"></a><span class="lineno">  419</span> </div>
+<div class="line"><a id="l00420" name="l00420"></a><span class="lineno">  420</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="anamespaceirlba_html"><div class="ttname"><a href="namespaceirlba.html">irlba</a></div><div class="ttdoc">Implements the IRLBA algorithm for approximate SVD.</div><div class="ttdef"><b>Definition</b> irlba.hpp:22</div></div>
+<div class="ttc" id="anamespaceirlba_html_a06d0182fc36d37483e1c4731b966cf16"><div class="ttname"><a href="namespaceirlba.html#a06d0182fc36d37483e1c4731b966cf16">irlba::WrappedWorkspace</a></div><div class="ttdeci">typename WrappedWorkspaceInternal&lt; Matrix &gt;::type WrappedWorkspace</div><div class="ttdef"><b>Definition</b> wrappers.hpp:74</div></div>
+<div class="ttc" id="anamespaceirlba_html_a2afbaa693ad02acc03ee74a3ea084630"><div class="ttname"><a href="namespaceirlba.html#a2afbaa693ad02acc03ee74a3ea084630">irlba::wrapped_adjoint_workspace</a></div><div class="ttdeci">WrappedAdjointWorkspace&lt; Matrix &gt; wrapped_adjoint_workspace(const Matrix *mat)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:104</div></div>
+<div class="ttc" id="anamespaceirlba_html_a944729e08e958d309cce1d66761e88c6"><div class="ttname"><a href="namespaceirlba.html#a944729e08e958d309cce1d66761e88c6">irlba::wrapped_multiply</a></div><div class="ttdeci">void wrapped_multiply(const Matrix *mat, const Right &amp;rhs, WrappedWorkspace&lt; Matrix &gt; &amp;work, Eigen::VectorXd &amp;out)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:123</div></div>
+<div class="ttc" id="anamespaceirlba_html_aa5b2aa0b925ead702a50c11eeb63cba5"><div class="ttname"><a href="namespaceirlba.html#aa5b2aa0b925ead702a50c11eeb63cba5">irlba::wrapped_realize</a></div><div class="ttdeci">Eigen::MatrixXd wrapped_realize(const Matrix *mat)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:156</div></div>
+<div class="ttc" id="anamespaceirlba_html_abf539bafcd5bf49b8106fa00b7cf61a3"><div class="ttname"><a href="namespaceirlba.html#abf539bafcd5bf49b8106fa00b7cf61a3">irlba::WrappedAdjointWorkspace</a></div><div class="ttdeci">typename WrappedAdjointWorkspaceInternal&lt; Matrix &gt;::type WrappedAdjointWorkspace</div><div class="ttdef"><b>Definition</b> wrappers.hpp:82</div></div>
+<div class="ttc" id="anamespaceirlba_html_adb3751dd2a2de0754fe92d25a658b45c"><div class="ttname"><a href="namespaceirlba.html#adb3751dd2a2de0754fe92d25a658b45c">irlba::wrapped_adjoint_multiply</a></div><div class="ttdeci">void wrapped_adjoint_multiply(const Matrix *mat, const Right &amp;rhs, WrappedAdjointWorkspace&lt; Matrix &gt; &amp;work, Eigen::VectorXd &amp;out)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:142</div></div>
+<div class="ttc" id="anamespaceirlba_html_afb93f4e9565318e79782c847fbebe16b"><div class="ttname"><a href="namespaceirlba.html#afb93f4e9565318e79782c847fbebe16b">irlba::wrapped_workspace</a></div><div class="ttdeci">WrappedWorkspace&lt; Matrix &gt; wrapped_workspace(const Matrix *mat)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:90</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html"><div class="ttname"><a href="structirlba_1_1Centered.html">irlba::Centered</a></div><div class="ttdoc">Wrapper for a centered matrix.</div><div class="ttdef"><b>Definition</b> wrappers.hpp:173</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a13b2ec774d429f0f00baaea0c413d087"><div class="ttname"><a href="structirlba_1_1Centered.html#a13b2ec774d429f0f00baaea0c413d087">irlba::Centered::AdjointWorkspace</a></div><div class="ttdeci">WrappedAdjointWorkspace&lt; Matrix &gt; AdjointWorkspace</div><div class="ttdef"><b>Definition</b> wrappers.hpp:209</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a25b700301187ffe9d12e5b6ba818f071"><div class="ttname"><a href="structirlba_1_1Centered.html#a25b700301187ffe9d12e5b6ba818f071">irlba::Centered::cols</a></div><div class="ttdeci">auto cols() const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:189</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a55b851d87fb995a2a04d3a07e69121ee"><div class="ttname"><a href="structirlba_1_1Centered.html#a55b851d87fb995a2a04d3a07e69121ee">irlba::Centered::workspace</a></div><div class="ttdeci">Workspace workspace() const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:201</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a5aff4cb0fd5911af49db22ec71eacac7"><div class="ttname"><a href="structirlba_1_1Centered.html#a5aff4cb0fd5911af49db22ec71eacac7">irlba::Centered::adjoint_multiply</a></div><div class="ttdeci">void adjoint_multiply(const Right &amp;rhs, AdjointWorkspace &amp;work, Eigen::VectorXd &amp;out) const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:248</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a700df2782062b93e673b5055adcf3195"><div class="ttname"><a href="structirlba_1_1Centered.html#a700df2782062b93e673b5055adcf3195">irlba::Centered::realize</a></div><div class="ttdeci">Eigen::MatrixXd realize() const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:259</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a8210b60275f835adc8fed1f204012d9f"><div class="ttname"><a href="structirlba_1_1Centered.html#a8210b60275f835adc8fed1f204012d9f">irlba::Centered::multiply</a></div><div class="ttdeci">void multiply(const Right &amp;rhs, Workspace &amp;work, Eigen::VectorXd &amp;out) const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:229</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_a8e835ea0c77cc6eb75d5a257ae53eba8"><div class="ttname"><a href="structirlba_1_1Centered.html#a8e835ea0c77cc6eb75d5a257ae53eba8">irlba::Centered::Centered</a></div><div class="ttdeci">Centered(const Matrix *m, const Eigen::VectorXd *c)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:179</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_aa86585b7bae6f19ae08d9a4baebc84fa"><div class="ttname"><a href="structirlba_1_1Centered.html#aa86585b7bae6f19ae08d9a4baebc84fa">irlba::Centered::Workspace</a></div><div class="ttdeci">WrappedWorkspace&lt; Matrix &gt; Workspace</div><div class="ttdef"><b>Definition</b> wrappers.hpp:196</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_aac5fe8d8c706d670811c9d5e6c8bbf07"><div class="ttname"><a href="structirlba_1_1Centered.html#aac5fe8d8c706d670811c9d5e6c8bbf07">irlba::Centered::rows</a></div><div class="ttdeci">auto rows() const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:184</div></div>
+<div class="ttc" id="astructirlba_1_1Centered_html_ae9cf9e63720540cdbe1cc880663f8c41"><div class="ttname"><a href="structirlba_1_1Centered.html#ae9cf9e63720540cdbe1cc880663f8c41">irlba::Centered::adjoint_workspace</a></div><div class="ttdeci">AdjointWorkspace adjoint_workspace() const</div><div class="ttdef"><b>Definition</b> wrappers.hpp:214</div></div>
+<div class="ttc" id="astructirlba_1_1Scaled_html"><div class="ttname"><a href="structirlba_1_1Scaled.html">irlba::Scaled</a></div><div class="ttdoc">Wrapper for a scaled matrix.</div><div class="ttdef"><b>Definition</b> wrappers.hpp:287</div></div>
+<div class="ttc" id="astructirlba_1_1Scaled_html_a1b2c01cf3f066d871702fec3948cfaa3"><div class="ttname"><a href="structirlba_1_1Scaled.html#a1b2c01cf3f066d871702fec3948cfaa3">irlba::Scaled::Scaled</a></div><div class="ttdeci">Scaled(const Matrix_ *m, const Eigen::VectorXd *s)</div><div class="ttdef"><b>Definition</b> wrappers.hpp:293</div></div>
 <div class="ttc" id="autils_8hpp_html"><div class="ttname"><a href="utils_8hpp.html">utils.hpp</a></div><div class="ttdoc">Various utility functions.</div></div>
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