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The "MathWishList" page has been changed by ThomasNeidhart:
https://wiki.apache.org/commons/MathWishList?action=diff&rev1=77&rev2=78
Comment:
Remove features already implemented
* Add more special math functions such as Bessel functions and so on.
* Add support for iterative linear solvers (see discussion [[http://mailarchives.apache.org/mod_mbox/commonsdev/201104.mbox/<20110413062230.2B0E41405982C@svoboda.polytechnique.org>http://mailarchives.apache.org/mod_mbox/commonsdev/201104.mbox/%3C20110413062230.2B0E41405982C@svoboda.polytechnique.org%3E]]):
see wiki page IterativeLinearSolvers
* Add remedian statistic  [[http://www.agoras.ua.ac.be/abstract/Remrob90.htmThe 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/MATH222)
* 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 pseudorandom number generators (PRNGs)
* Investigate alternative methods for generating values from discrete distributions http://www.jstatsoft.org/v11/i03/
* Resampling http://markmail.org/message/u3diwc76m66r7qme
* Appliedmathematical/Mathematicalphysics algorithms?  Henri Yandell
@@ 21, +19 @@
* [[http://zxg32.blogchina.com/2787280.htmlPostSOC TODO List]]  Xiaogang Zhang
* Implement monte carlo simulation http://en.wikipedia.org/wiki/Monte_Carlo_method
* [[PrimeNumbersPrime 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 [[http://en.wikipedia.org/wiki/Convolutionconvolution]], [[http://en.wikipedia.org/wiki/Laplace_transformLaplace
transform]], [[http://en.wikipedia.org/wiki/ZtransformZtransform]] and similar signal/image
processing and filtering related essentials.
+ * Add [[http://en.wikipedia.org/wiki/Laplace_transformLaplace transform]], [[http://en.wikipedia.org/wiki/ZtransformZtransform]]
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 (20110120)
* Add fitter functions for linear models similar to ''lm.wfit'' in ''R''(20111114)
* A mixed integer linear programming solver
* A quadratic programming solver
 * Implement the Kendall's Tau which is a measure of Association/Correlation between ranked
ordinal data.[[https://issues.apache.org/jira/browse/MATH814]]

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