commons-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Apache Wiki <wikidi...@apache.org>
Subject [Commons Wiki] Update of "MathWishList" by ThomasNeidhart
Date Fri, 01 Nov 2013 07:18:02 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Commons Wiki" for change notification.

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://mail-archives.apache.org/mod_mbox/commons-dev/201104.mbox/<20110413062230.2B0E41405982C@svoboda.polytechnique.org>|http://mail-archives.apache.org/mod_mbox/commons-dev/201104.mbox/%3C20110413062230.2B0E41405982C@svoboda.polytechnique.org%3E]]):
see wiki page IterativeLinearSolvers
   * Add remedian statistic - [[http://www.agoras.ua.ac.be/abstract/Remrob90.htm|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
@@ -21, +19 @@

    * [[http://zxg32.blogchina.com/2787280.html|Post-SOC TODO List]] - Xiaogang Zhang
   * Implement monte carlo simulation http://en.wikipedia.org/wiki/Monte_Carlo_method
   * [[PrimeNumbers|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 [[http://en.wikipedia.org/wiki/Convolution|convolution]], [[http://en.wikipedia.org/wiki/Laplace_transform|Laplace
transform]], [[http://en.wikipedia.org/wiki/Z-transform|Z-transform]] and similar signal/image
processing and filtering related essentials.
+  * Add [[http://en.wikipedia.org/wiki/Laplace_transform|Laplace transform]], [[http://en.wikipedia.org/wiki/Z-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''(2011-11-14)
   * 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/MATH-814]] 
  

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@commons.apache.org
For additional commands, e-mail: dev-help@commons.apache.org


Mime
View raw message