Search Results for "simplex method java linear"

Linear Program Solver (Solvexo) is an optimization package intended for solving linear programming problems. The main features of the Solvexo are: · Solvexo solver is based on the efficient implementation of the simplex method (one or two phases); · Solvexo provides not only an answer, but a detailed solution process as a sequence of simplex matrices, so you can use it in studying (teaching) linear programming

Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming

Java Api to manipulate simple on data of Matrix Type. There is lot of usefull methods like resize, insert , remove, sort and lot of other methods. Usefull methods to manipulate with diagonals. For example you can create block diagonal matrix. There is lot of usefull methods to manipulate on mathematic matrix also, like determinant , norm , minor , cofactor , solveLienarSystem , arithmetic operations also and lot more.

Software to solve Linear Programming problems applying the Revised Simplex Algorithm (2-Phase Method) and performing a Sensitivity Analysis too.

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.

Its an Eclipse 3.5 Plugin. It can be used to find linear paths for unit testing of any method. The linear path covers all the child methods and till leaf level of the hierarchy. The packages which should be covered in the path can be controlled.

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.