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Scientific Computing with Pharo

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There are two classes that looks quite similar: `PMLinearCongruentialRandomGenerator` (subclass of `Object`) and `PMCongruentialRandomNumberGenerator` (subclass of `PMPseudoRandomNumberGenerator`). Apparently the first one is coming from DHB book, the origin of the...

Priority: Medium
Status: Available
Type: Question

@nicolas-cellier-aka-nice why ``PMArbitraryPrecisionFloat one`` returns a SmallInteger and not a PMArbitraryPrecisionFloat?

Priority: Low
Type: Question

@nicolas-cellier-aka-nice I see that there has been some recent commit on the upstream repository: http://map.squeak.org/package/772ff102-bf10-4aee-a0b9-18b4434d5d14/autoversion/2 Is it possible to update the PM version accordingly?

Priority: Low
Status: Available
Type: Maintenance

``PMLaplaceGenerator`` is a subclass of Object instead of ``PMNumberGenerator``. Any reason for that?

Priority: Medium
Status: Available
Type: Question

_From @bergel on March 4, 2016 11:39_ Useful to analyze differences in median values between samples. This is necessary to do some controlled experiments. https://en.wikipedia.org/wiki/Kruskal%E2%80%93Wallis_one-way_analysis_of_variance _Copied from original issue: SergeStinckwich/SciSmalltalk#24_

Priority: Low
Status: Available
Type: Enhancement

_From @bergel on March 4, 2016 11:39_ This is useful to check for data normality. https://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test _Copied from original issue: SergeStinckwich/SciSmalltalk#23_

Priority: Low
Status: Available
Type: Enhancement

_From @bergel on March 4, 2016 11:40_ Useful to support multiple comparisons and controlling the group error rate. https://en.wikipedia.org/wiki/Bonferroni_correction _Copied from original issue: SergeStinckwich/SciSmalltalk#25_

Priority: Low
Status: Available
Type: Enhancement

See : https://github.com/UMMISCO/kendrick/issues/87 We should provide a simpler example that does not work correctly.

Priority: High
Status: Available
Type: Bug

#mean and #stdev are implemented by Pharo Collection #mode is implemented by PolyMath We should put them together either here or there

Priority: Low
Status: Available
Type: Enhancement

At the moment we have 1D array: vectors (PMVector) and 2D arrays : matrices (PMMatrix). We will need n-dimensional arrays in the future, like in Numpy: https://docs.scipy.org/doc/numpy/reference/arrays.ndarray.html Some algorithms already...

Priority: High
Status: Available
Type: Enhancement