From 8377baba1531ca2b69a91d6a7d1fda0c9e1d0d91 Mon Sep 17 00:00:00 2001 From: Ruizhi Yu Date: Tue, 30 Jul 2024 17:25:13 +0800 Subject: [PATCH] docs: update doc url --- README.md | 4 ++-- docs/src/gettingstart.md | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 3d50e02..6c5d626 100644 --- a/README.md +++ b/README.md @@ -111,7 +111,7 @@ pip install Solverz # Useful Resources -- [Solverz Documentation](https://docs.solverz.org) -- [Solverz Cookbook](https://cookbook.solverz.org) +- [Solverz Documentation](https://doc.solverz.org) +- [Solverz Cookbook](https://cook.solverz.org) diff --git a/docs/src/gettingstart.md b/docs/src/gettingstart.md index 2bc9007..800fccd 100644 --- a/docs/src/gettingstart.md +++ b/docs/src/gettingstart.md @@ -58,8 +58,8 @@ For example, the expressions $x_0x_1+\sin(x_2)$ can be implemented by >>> m.x[0]*m.x[1]+sin(m.x[2]) x[0]*x[1] + sin(x[2]) ``` -Currently, functions like `sin`, `cos`, `Abs`, `Sign`, `exp`, just to name a few, are supported. You can refer to [api reference](https://docs.solverz.org/reference/index.html) for all supported functions and their detailed implementations. -If you want to write your own functions, refer to [advanced usage](https://docs.solverz.org/advanced.html). And you can contact us so that we can make it a Solverz built-in funtion. +Currently, functions like `sin`, `cos`, `Abs`, `Sign`, `exp`, just to name a few, are supported. You can refer to [api reference](https://doc.solverz.org/reference/index.html) for all supported functions and their detailed implementations. +If you want to write your own functions, refer to [advanced usage](https://doc.solverz.org/advanced.html). And you can contact us so that we can make it a Solverz built-in funtion. A special case of Variables is the `AliasVar`, that is, the alias variables. In Solverz, the `AliasVar` is used to denote the historical value of some variable, which is useful in finite difference equations. For example, one can use the following codes to declare `AliasVar`. @@ -268,7 +268,7 @@ The current solvers are summarized below. 2. `implicit_trapezoid()` the [implicit trapezoidal method](https://en.wikipedia.org/wiki/Trapezoidal_rule_(differential_equations)). 3. `Rodas()` the stiffly accurate Rosenbrock method with adaptive step size, dense output and event detection. One can use it the same as the Ode-series solvers in Matlab. This is the most stable solver in Solverz. -The detailed usage of these solvers can be found in [api reference](https://docs.solverz.org/reference/index.html). +The detailed usage of these solvers can be found in [api reference](https://doc.solverz.org/reference/index.html). It also a good idea to use solvers provided by scipy and other python packages since Solverz has derived the generic numerical interfaces.