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Releases: baggepinnen/MonteCarloMeasurements.jl

v0.9.8

09 Oct 07:05
a19a8e5
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MonteCarloMeasurements v0.9.8

Diff since v0.9.7

Closed issues:

  • Asymmetric error representation / propagation? (#90)

Merged pull requests:

  • CompatHelper: bump compat for "Distributions" to "0.24" (#93) (@github-actions[bot])

v0.9.7

23 Sep 10:05
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MonteCarloMeasurements v0.9.7

  • Some more methods for complex particles

Diff since v0.9.6

v0.9.6

20 Sep 09:04
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MonteCarloMeasurements v0.9.6

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v0.9.5

24 Jul 15:03
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MonteCarloMeasurements v0.9.5

Diff since v0.9.4

v0.9.4

05 Jul 19:03
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MonteCarloMeasurements v0.9.4

Diff since v0.9.3

v0.9.3

05 Jul 18:03
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MonteCarloMeasurements v0.9.3

Performance improvements for StaticParticles in axpy!, mul!

Diff since v0.9.2

v0.9.2

05 Jul 12:04
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MonteCarloMeasurements v0.9.2

  • Faster dot and matrix-vector multiply for StaticParticles by using BLAS.

Diff since v0.9.1

Closed issues:

  • How to make MonteCarloMeasurements work with Optim (#82)

v0.9.1

18 Jun 07:03
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MonteCarloMeasurements v0.9.1

Diff since v0.9.0

v0.9.0

17 Jun 10:02
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MonteCarloMeasurements v0.9.0

Breaking changes

  • The default number of Particles is changed from 10000 to 2000
  • Display of particles in the REPL is improved
  • GenericLinearAlgebra.jl is installed, but not loaded by default. This means that some LAPACK-style functionality that previously worked for matrices of particles no longer works unless GenericLinearAlgebra is manually loaded. Examples include `svd, eigvals´ etc. This change was made to get around warnings about GenericLinearAlgebra and GenericSVD pirating the same functions.

MonteCarloMeasurements is now also compatible with julia nightly

Diff since v0.8.12

v0.8.12

28 May 09:03
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MonteCarloMeasurements v0.8.12

  • Perform A*p::Vector{StaticParticles{T,N} using BLAS matrix-matrix multiply for about 2x performance improvements.
  • more docstring

Diff since v0.8.11