Software Listing: Linear Programming

Linear programming environment that incorporates large-scale linear programs solver and easy, intuitive graphical user interface to specify, import and solve any type of constrained optimization problems arising in various industrial, financial and educational areas. Optimization problems are stated as linear programs that size can reach up to 500 thousand decision variables and constraints.. Linear Programming and Sheet Cutting Library. Linear Programming Package and Sheet Cutting Library.

  • Platform: Win2000, WinOther

GIPALS32 is a linear programming library that incorporates the power of linear programming solver and simplicity of integration to any software tools like Ms Visual C++, Ms Visual C# .Net, Ms Visual Basic, Borland Delphi and other that support a DLL import. The maximum number of constraints and variables is unlimited.
The linear program solver is based on Interior-Point method (Mehrotra predictor-corrector algorithm) and optimized for large sparse linear programs by implementing the state-of-art algorithm to order the constraints matrix.
The user can specify the linear program using a set of exported DLL functions.

  • Platform: Win2000, Win7 x32, Win7 x64, Windows Server, WinOther, WinVista, WinVista x64

Linear Program Solver is a small, simple, very easy to use tool specially designed to help you solve linear programming models.

This tool offers: informative solving reports, extended sensitivity analysis, mixed integer models engine. LiPS supports MPS format and simple LP format (like lpsolve).
for WindowsAll

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  • Platform: WinOther

This code allows little applications to DEA (Data Envelopment Analysis), based on the Jeff Stuart Linear Programming code..

  • Platform: Matlab, Scripts

This function solves the mixed integer linear programming problems. It uses the linprog.m function that comes with the optimization toolbox of MATLAB. It employs the branch and bound algorithm. It uses depth first search.

  • Platform: Matlab, Scripts

Build MPS matrix string that contains linear programming problem: Minimizing (for x in R^n): f(x) = cost'*x, subject to A*x <= b (LE) Aeq*x = beq (EQ) L <= x <= U (BD). Only single rhs (b and beq) is supported. The MPS file format was introduced for an IBM program, but has also been accepted by most subsequent linear programming codes. To learn about MPS format, please see: http://lpsolve.sourceforge.net/5.5/mps-format.htm http://www-fp.mcs.anl.gov/OTC/Guide/OptWeb...arprog/mps.html.

  • Platform: Matlab, Scripts

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.
Ajanta - Linear Programming Java API License - Apache License V2.0.

  • Platform: WinOther
  • LPSolve
  • License: Freeware
  • Price: 0.00
  • Rating

LPSolve is a mixed integer linear programming (MILP) solver that resolves pure linear, mixed integer / binary, semi-continuous and special ordered sets (SOS) models.

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  • Platform: WinOther

GIPALS32 is a linear programming library that incorporates the power of linear programming solver and simplicity of integration to any software tools like Ms Visual C++, Ms Visual C# .Net, Ms Visual Basic, Borland Delphi and other that support a DLL import.

The maximum number of constraints and variables is unlimited. The linear program solver is based on Interior-Point method (Mehrotra predictor-corrector algorithm) and optimized for large sparse linear programs by implementing the state-of-art algorithm to order the constraints matrix. Furthermore, the user will have the possibility to customize the linear program using a range of exported DLL functions.

  • Platform: WinOther

Function to solve the Minimum Perfect Matching on non-biparite graphs problem using Integer linear programming. Returns vector of matched indices and cost of the match. Requires symmetric adjacent matrix of even rank. function [ indices, cost ] = min_perfect_matching( G ) Function _requires_ integer linear programming tool "mixed-integer LP" by Sherif Tawfik, available at: http://www.mathworks.com/matlabcentral/fil...ixed-integer-lp.

  • Platform: Matlab, Scripts

proteinLP was developed as an accessible linear programming model for protein inference, built on two simple probability equations.

ProteinLP is implemented in Java and can run on any Java Virtual Machine (JVM) regardless of computer architecture.

Since ProteinLP introduces linear programming to solve protein inference problem, the software uses a standard LP software package, GLPK for Java (v4.47).


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  • Platform: WinOther
  • NMath
  • License: Demo
  • Price: 995
  • Rating

NMath contains vector, matrix, and complex number classes, integration, ODE solver, peak finding, sparse matrix, linear programming, least squares, polynomials, minimization, factorizations (LU, Bunch-Kaufman, and Cholesky), orthogonal decompositions (QR and SVD), advanced least squares classes (Cholesky, QR, and SVD), optimization, solver, root-finding, curve-fitting, random number generation from various probability distributions the uniform, normal, Poisson, gamma, binomial, exponential, Pareto, and log normal distributions, sparse matrix classes (general, triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded).

  • Platform: Win2000, Win7 x32, Win7 x64, WinOther, WinVista, WinVista x64
  • stan
  • License: Freeware
  • Price: 0.00
  • Rating

A java decision supporting application for the urban planning domain. It is designed as a desktop frontend to a Mixed Integer Programming engine. Actually it uses the GNU Linear Programming Kit (GLPK)..

  • Platform: Linux, Mac OS X, Unix, WinOther

NMath Premium has vector, matrix, and complex number classes, integration, ODE solver, peak finding, sparse matrix, linear programming, least squares, polynomials, minimization, factorizations (LU, Bunch-Kaufman, and Cholesky), decompositions (QR and SVD), advanced least squares classes (Cholesky, QR, and SVD), optimization, solver, root-finding, curve-fitting, random number generation, uniform, normal, Poisson, gamma, binomial, exponential, Pareto, and log normal distributions, sparse matrix classes (general, triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded).

  • Platform: WinOther
  • linprog
  • License: Freeware
  • Price: 0.00
  • Rating

This directory contains a suite of files for performing the standard two phase simplex method on linear programming problems. The three files LINPROG.DOC, PHASEI.DOC and PHASEII.DOC are fully documented versions of the m-files LINPROG.M, PHASEI.M and PHASEII.DOC are fully documented versions of the m-files LINPROG.M, PHASEI.M and PHASEII.M. In addition, there are a number of mat-files containing examples. The files OPT1.MAT, OPT2.MAT and OPT3.MAT contain matrices for LP's possessing an optimal solution. These particular LP's are of a type attributed to V. Klee for which the m x 2m system of constraints requires 2^m - 1 iterations (half during phase I and half during phase II).

  • Platform: Matlab, Scripts

The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: backwards induction, value iteration, policy iteration, linear programming algorithms with some variants. The functions were developped with MATLAB (note that one of the functions requires the Mathworks Optimization Toolbox) by Iadine Chaddodus, Marie-JosdoTee Cros, FrdoTeddoTerick Garcia, RdoTegis Sabbadin of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France). The version 3.0 (September 2009) adds several functions related to Reinforcement Learning and improves the handling of sparse matrices.

  • Platform: Matlab, Scripts

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle swarm optimization etc) to solve multi objective optimization problems. Here in this example a famous evolutionary algorithm, NSGA-II is used to solve two multi-objective optimization problems. Both problems have a continuous decision variable space while the objective space may or may not be continuous.

  • Platform: Matlab, Scripts
  • dlpsolve
  • License: Freeware
  • Price: 0.00
  • Rating

dlpsolve is a linear programming solver with mumps
dlpsolve License - GNU General Public License (GPL).

  • Platform: WinOther

Linear Programming (LP) has been used in the case of the Federalist Papers whose authorship had been disputed. The task here will be to use the Cell Broadband Engine to do likewise with papers whose authorship is disputed.
AuthorshipDetermination of Disputed Docs License - GNU General Public License (GPL).

  • Platform: WinOther

Operational Research Commented (ORC) lets you solve such operational research problems as linear programming (using simplex method) and transportation problems. ORC is more than 10k lines of extra refined Java code and a mathematical engine verified by professors of Kyiv Polytechnic Institute.

Notable features:
* Human language comments for every aspect of solution process
* Using common fractions for numerical operations
* Postoptimal analysis and new postoptimal solution (with commenting)
* Graphs for LPP with 2 variables

DOES NOT REQUIRE AN INTERNET CONNECTION

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  • Platform: Android 2.x, Android 3.x, Android 4.4, Android 4.x

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