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Releases: baggepinnen/MonteCarloMeasurements.jl

v0.6.0

19 Dec 04:20
v0.6.0
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v0.6.0 (2019-12-19)

Diff since v0.5.8

Merged pull requests:

  • try to fix inference for zero (#51) (simeonschaub) (this led to some nice performance improvements)
  • overhaul promotion (#49) (simeonschaub) (we now handle discrete distributions with integer or boolean element types much better)
  • Remove support for WeightedParticles (#33) (baggepinnen) (they didn't work well anyways, remains to be reimplemented in the future)

v0.5.8

17 Dec 05:55
v0.5.8
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v0.5.8 (2019-12-17)

Diff since v0.5.7

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v0.5.7

03 Dec 09:47
v0.5.7
bfdbfb6
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v0.5.7 (2019-12-03)

Diff since v0.5.6

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v0.5.6

01 Dec 13:19
v0.5.6
de27521
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v0.5.6 (2019-12-01)

Diff since v0.5.5

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v0.5.5

27 Nov 14:18
v0.5.5
a9db8a9
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v0.5.5 (2019-11-27)

Diff since v0.5.4

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v0.5.4

06 Nov 07:17
v0.5.4
7293ce1
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v0.5.4 (2019-11-06)

Diff since v0.5.3

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v0.5.3

23 Oct 02:02
v0.5.3
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v0.5.3 (2019-10-23)

Updated compat bounds

Diff since v0.5.2

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v0.5.2

20 Oct 06:02
v0.5.2
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v0.5.2 (2019-10-20)

Add some constructors and the .. operator to create Uniform distributions a..b

Diff since v0.5.1

Closed issues:

  • ::Particles{Bool,N} (#24)

v0.5.1

14 Oct 07:22
v0.5.1
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v0.5.1 (2019-10-13)

Diff since v0.5.0

Closed issues:

  • Wasserstein distance between particles (#32)

v0.5.0

28 Sep 15:06
v0.5.0
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v0.5.0 (2019-09-26)

+- and -+ operators are now exported.

Diff since v0.4.1

Closed issues:

  • ribbonplot goes beyond particle bounds (#26)