commons-math3 3.6.1-3 source package in Ubuntu

Changelog

commons-math3 (3.6.1-3) unstable; urgency=medium

  * Team upload.
  * Disabled the tests that fail to run with Java 9 (Closes: #875351)
  * Standards-Version updated to 4.1.2
  * Switch to debhelper level 10
  * Use a secure URL in debian/watch

 -- Emmanuel Bourg <email address hidden>  Mon, 04 Dec 2017 16:42:25 +0100

Upload details

Uploaded by:
Debian Java Maintainers
Uploaded to:
Sid
Original maintainer:
Debian Java Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc
Mantic release universe misc
Lunar release universe misc
Jammy release universe misc
Focal release universe misc
Bionic release universe misc

Builds

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
commons-math3_3.6.1-3.dsc 2.1 KiB 7c39c689ec06b33d4cfe8f7d39609689b9928a47bf1724a361b493ae776e2441
commons-math3_3.6.1.orig.tar.xz 2.4 MiB 16d940c11c48793214915b72201c35719acd1cb40278066b3c090165550fd992
commons-math3_3.6.1-3.debian.tar.xz 8.2 KiB 0ec09af35aa6d8a43173ff32751181bf4e52101f1a83363cfa4c72a25ad308c5

Available diffs

No changes file available.

Binary packages built by this source

libcommons-math3-java: Java lightweight mathematics and statistics components

 Commons Math is a Java library of lightweight, self-contained mathematics
 and statistics components.
 .
 Commons Math is made up of a small set of math/stat utilities addressing
 programming problems like the ones in the list below:
  - Computing means, variances and other summary statistics for a list of
  numbers
  - Fitting a line to a set of data points using linear regression
  - Finding a smooth curve that passes through a collection of points
  (interpolation)
  - Fitting a parametric model to a set of measurements using least-squares
  methods
  - Solving equations involving real-valued functions (i.e. root-finding)
  - Solving systems of linear equations
  - Solving Ordinary Differential Equations
  - Minimizing multi-dimensional functions
  - Generating random numbers with more restrictions (e.g distribution, range)
  than what is possible using the JDK
  - Generating random samples and/or datasets that are "like" the data in an
  input file
  - Performing statistical significance tests
  - Miscellaneous mathematical functions such as factorials, binomial
  coefficients and "special functions" (e.g. gamma, beta functions)
 .
 This is a part of the Apache Commons Project.

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