dDevTech / MathLibrary

A library to execute advanced math tasks. Regression, matrix inverssion, Determinant, solve equations, Vector, Physics and more. Easily visualize 2D functions and datasets

A Java Math Library for carryng out complex functions and advanced tools. From math geometry, calculus and algebra to artificial intelligence

Features

• Cross platform
• Simple and easy use
• Stadistic and data mining tools
• Regression (linear, polynomial)
• Window Viewer
• Function and data drawer
• Data analyzer
• Advanced Matrix and Vector classes
• Stadistic functions
• Equation solver
• 2D/3D Physics
• Collisions
• CSV data reader
• Artificial Inteligence - Beta
• Neural Network - In progress
• Genetic Algorithm - In progress

Download

Download the .jar file and set it to your project workspace. Select project properties and add the library to the build path. Then you will have finished setting up all the requirements

IDE Environment

Used Eclipse. You can also use Netbeans or IntellijIDEA

Coding with the Math Library

This library let you to carry out complex algorithms
Works in every platform : Linux, Windows, MacOSX

Sintax

The sintax for using the library is Simple. You have Matrix, Vector classes for creating math structures
Then you have solvers like Regression or Equation solvers
Finally you can draw the solutions in a window

Example

Code

double[][]values= {{1,1,1,-1},{1,1,-1,1},{1,-1,1,1},{-1,1,1,1}}; //Matrix DataSet
double []outputsX= {49,69,89,99,109,20}; //XValues for regression
double []outputsY= {124,95,36,45,55,30}; //YValues for regression

MathViewer viewer= new MathViewer(600, 600); //Create a window to draw functions
	
double solutions[]=Regression.executePolynomialRegression(outputsX, outputsY, 4); //Execute polynomial regression with grade 3 (4-1)
viewer.draw().addDataset(Dataset.arrayToDataset(outputsX, outputsY)); //Simple draw dataset points
viewer.draw().addFunction(solutions); //Draw the regression solution function

Window preview with a CSV dataset Regression function