Search Results for "linear program solver"
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Showing 6 open source projects for "linear program solver"
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1
GLPK for Java
Java language binding for the GNU Linear Programming Kit (GLPK)
GLPK for Java provides a Java language binding for the library GLPK. GLPK is a proven solver for linear and mixed integer mathematical programming problems. For Windows binaries see project GLPK for Windows (http://sourceforge.net/projects/winglpk/). -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
3
JBernstein
JBernstein: Exploration techniques for non-linear constraint checking
JBernstein is a tool implemented in Java that enables to check whether a polynomial constraint holds for all variables within their domain. It is mainly used in the verification or synthesis of cyber-physical systems where the system model is nonlinear. The tool also supports specifications in assume-guarantee style. The underlying algorithm is based on a translation to Bernstein polynomials, and several optimization techniques are implemented to ensure efficiency. Concerning performance,... -
4
Galois sub-hierarchy builder
Visualize Galois sub-hierarchy of 2d matrix
...This program is free software and is licensed under GNU General Public License as published by the Free Software Foundation. Only jre7 compliant at the moment. -
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5
Zero Sum Game Solver Java Library
Zero Sum Game Solver Java Library
Zero Sum Game Solver Java Library is open source java library to solve 2-player finite zero-sum games. This programs solve zero-sum games with linear programming. -
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Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on Machine Learning.
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