How to Install and Uninstall libcommons-math3-java Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 07,2024
1. Install "libcommons-math3-java" package
Please follow the steps below to install libcommons-math3-java on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
libcommons-math3-java
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2. Uninstall "libcommons-math3-java" package
Please follow the steps below to uninstall libcommons-math3-java on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
libcommons-math3-java
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libcommons-math3-java package on Ubuntu 21.10 (Impish Indri)
Package: libcommons-math3-java
Architecture: all
Version: 3.6.1-3
Priority: optional
Section: universe/java
Source: commons-math3
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2269
Filename: pool/universe/c/commons-math3/libcommons-math3-java_3.6.1-3_all.deb
Size: 2016360
MD5sum: 9472a45b33425b18c3434ff0e98ba5c1
SHA1: ff43d8cae4dc1203133f906483c51558aa0881a5
SHA256: c5b248a1eee21a9577293fb08fbb0d35c80c3f927be125295eade73589d05bb5
SHA512: 3d4280db86439ec9b6bfbb4c67bfd7347cdc11265298bdcbefa9d446f145f3dece9dcb939c7dcd54636dcb2c34b12347fe0e7f81ada40433a5a2c16d7d193ec9
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
Architecture: all
Version: 3.6.1-3
Priority: optional
Section: universe/java
Source: commons-math3
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2269
Filename: pool/universe/c/commons-math3/libcommons-math3-java_3.6.1-3_all.deb
Size: 2016360
MD5sum: 9472a45b33425b18c3434ff0e98ba5c1
SHA1: ff43d8cae4dc1203133f906483c51558aa0881a5
SHA256: c5b248a1eee21a9577293fb08fbb0d35c80c3f927be125295eade73589d05bb5
SHA512: 3d4280db86439ec9b6bfbb4c67bfd7347cdc11265298bdcbefa9d446f145f3dece9dcb939c7dcd54636dcb2c34b12347fe0e7f81ada40433a5a2c16d7d193ec9
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