Search Results for "tora for linear programming"

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/).

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.

Simple2D is a Java library containing a plethora of tools with the aim of helping developers complete tasks from menial to advanced more easily than they could using the default Java API

F2what is an open source project to translate algorithmic fortran to a variety of languages (java, dotnet and VBA so far). It offers a Fortran77 parser with code transformations, variable disambiguation, and modular output to other programming languages. It also offers already translated versions of Lapack and quadprog to Java, .Net and VBA, to give access to SVD, LU, QR, Cholesky, eigenvalue decomposition, linear system solving and QP optimization in those three languages.

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.

This is a series of *.java Classes for making programming tasks simpler, much like Apache Commons. Included in this src package is an Advanced Randomizer, TStringList Clone From Delphi, an Algorithem Class, and Method MultiTask Better than Runnables.

swIMP (swig-based Interfaces for Mathematical Programming) provides Java wrappers for solvers written in C or C++. The current focus is on accessing OSI-compatible linear programming (LP) solvers from the Coin-OR-project (e.g. Clp, GLPK, MOSEK, CPLEX).

Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.

Ajanta is a Java API to solve linear programming problems. Linear programming is a method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given list of constraints.

The Auckland Layout Model is a platform-independent 2D layout technology for arranging the controls in a GUI. The model supports the specification of constraints based on linear algebra, and an optimal layout is calculated using linear programming.