Apache Commons Math Library (org.apache.commons.*)

Apache Commons Math Library

Common Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language or Commons Lang. [1] Its supportive library for statics and mathematical calculation. According to ref [1] it can deal with real-world application, best part is independent from the complex configuration and dependencies. Current version [as on May 31, 2014] is depending on Java Version 1.5+. We can also use this library as Image processing or signal processing because it support basic of mathematics. following functionality provided by this library its divided in sixteen sub package.

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functionality provided.

  • org.apache.commons.math3.stat –                   statistics, statistical tests
  • org.apache.commons.math3.analysis –           root finding, integration, interpolation, polynomials
  • org.apache.commons.math3.random –            random numbers, strings and data generation
  • org.apache.commons.math3.special –             special functions (Gamma, Beta)
  • org.apache.commons.math3.linear –                matrices, solving linear systems
  • org.apache.commons.math3.util –                     common math/stat functions extending java.lang.Math
  • org.apache.commons.math3.complex –           complex numbers
  • org.apache.commons.math3.distribution –      probability distributions
  • org.apache.commons.math3.fraction –            rational numbers
  • org.apache.commons.math3.transform –         transform methods (Fast Fourier)
  • org.apache.commons.math3.geometry –         geometry (Euclidean spaces and Binary Space Partitioning)
  • org.apache.commons.math3.optim –   function maximization or minimization
  • org.apache.commons.math3.ode –                  Ordinary Differential Equations integration
  • org.apache.commons.math3.genetics –           Genetic Algorithms
  • org.apache.commons.math3.fitting – Curve Fitting
  • org.apache.commons.math3.ml –                    Machine Learning

Example

import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;

public static void main(String[] args) {
int inputArray[]={1,2,3,4,5};
DescriptiveStatistics stats = new DescriptiveStatistics();
for( int i = 0; i < inputArray.length; i++)
{
stats.addValue(inputArray[i]);
}
double mean = stats.getMean();
double std = stats.getStandardDeviation();
double median = stats.getPercentile(50);
System.out.print(“Std=” + std + ” mean=” + mean + ” median=”+median );
}

———-out put——————————-

Std=1.5811388300841898 mean=3.0 median=3.0

 

Citation

  1. http://commons.apache.org/proper/commons-math/index.html

 

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