Page History

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• Add more special math functions such as Bessel functions and so on.
• Add support for iterative linear solvers (see discussion http://mail-archives.apache.org/mod_mbox/commons-dev/201104.mbox/%3C20110413062230.2B0E41405982C@svoboda.polytechnique.org%3E): see wiki page IterativeLinearSolvers
• Add remedian statistic - The Remedian: a Robust Averaging method for Large Data Sets
• Add ability to compute the density of normal distribution and other well behaved distributions (done for some distributions https://issues.apache.org/jira/browse/MATH-222)
• Add ability to sample from some of the common distributions such as normal, gamma, beta and so on.
• Add Dirichlet, Multinomial distributions
• Add additional alternative pseudo-random number generators (PRNGs)
• Investigate alternative methods for generating values from discrete distributions http://www.jstatsoft.org/v11/i03/
• Resampling http://markmail.org/message/u3diwc76m66r7qme
• Applied-mathematical/Mathematical-physics algorithms? - Henri Yandell
  • Examples, please? This item goes to the heart of what I consider an ongoing lack of consensus about what Commons-Math is supposed to be for. Should it include discipline-specific algorithms that do not overlap core numerical mathematical areas? Maybe, but we should discuss it. – AlChou
• Numerical Enhancements
  • Post-SOC TODO List - Xiaogang Zhang
• Implement monte carlo simulation http://en.wikipedia.org/wiki/Monte_Carlo_method
• Prime Numbers Functionality – SharonLourduraj
  • Naive Primality Testing
  • Probablistic Tests
  • Ofcourse, we will take it slowly, this area is vast and time consuming.
  • Implementing algorithms for practicality, and look into optimizing the algorithms (in terms of implementing it).
• AbstractStorelessUnivariateStatistic.evaluate(...) and all the workhorse implementations in subclasses should be static methods. – NickGuenther
• StandardDeviation has versions of .evaluate which take a precalculated mean. It would be nice if the same sort of thing could be had for all the other measures (e.g. skewness & kurtosis should be able to take both precalculated means and standard deviations) – NickGuenther
• Generalized Matrix Inversion, as I describe on http://mjollnir.com/matrix/ – Rand Huso
• Estimation of Omega in GLSMultipleLinearRegression using, for example Feasible Generalized Least Squares http://en.wikipedia.org/wiki/Feasible_generalized_least_squares
• Add convolution, Laplace transform, Z-transform and similar signal/image processing and filtering related essentials.
• Add further functionality for BigDecimal and BigInteger arithmetic in particular a power function that will input two BigDecimal type numbers and raise one to the power of the other and return the result correct to a number of specified decimal places. This may best be added to the util.MathUtils class along with other pow functions - suggested by Andy Turner (2011-01-20)

• Add fitter functions for linear models similar to lm.wfit in R by Vlasios Voudouris (2011-11-14)