How to Install and Uninstall libcommons-math-java Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 13,2024

1. Install "libcommons-math-java" package

Learn how to install libcommons-math-java on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libcommons-math-java

2. Uninstall "libcommons-math-java" package

This guide covers the steps necessary to uninstall libcommons-math-java on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libcommons-math-java $ sudo apt autoclean && sudo apt autoremove

3. Information about the libcommons-math-java package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcommons-math-java
Architecture: all
Version: 2.2-7
Priority: optional
Section: universe/java
Source: commons-math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1047
Filename: pool/universe/c/commons-math/libcommons-math-java_2.2-7_all.deb
Size: 927532
MD5sum: ae7f46ed80c75683d77dfeb8cc0c8d03
SHA1: 8fb6269572101268a1b4ce94fd456de055339ca2
SHA256: bef52d2722221b03ecd0880cbabf73c6b424e7e2cb7fcb24db5e1d17eef60230
SHA512: 4df38c060b7b4c5fa06c36813540fb1485b84fdc94eed836ec6297a5bdc2964136a289ef9d1022492587146ef96aa6f5efba8e3c7c66d9deb3658a8b395c8449
Homepage: http://commons.apache.org/math/
Description-en: 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.
Description-md5: 82967a036975d8f7b19b0e8fcbbced7e