Tora 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...

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 Basic, Borland Delphi and other that support a DLL import. The maximum number of constraints and variables is unlimited.

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...


Platforms: Windows

NMath Analysis contains classes for function minimization, root-finding, and linear programming. Product features include classes for minimizing univariate functions using golden section search and Brent's method, minimizing multivariate functions using the downhill simplex method, Powell's...


Platforms: Windows

Visual Optim is a math program for one dimension searching, linear programming, unconstrained nonlinear programming and constrained nonlinear programming.Use Visual Optim to implement one dimension searching, linear programming, unconstrained nonlinear programming and constrained nonlinear...


Platforms: Windows, Windows 7, Windows Server

Simplex-in-PHP are PHP scripts that solve small linear programming and integer linear programming problems executing the simplex method step by step, printing the tableau and drawing the graphical analysis.Useful for students in Operational Research.


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

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


Platforms: Matlab

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


Platforms: Matlab

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...


Platforms: Windows

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_...


Platforms: Matlab

This model calculates the Product or Service Mix that maximizes overall profit considering available resources. It will identify the mix (number) of each Production Item to produce and any remaining resource. Up to six unique Production Items can be handled with ten specific resource inputs....


Platforms: Windows, Other

MINDTech has developed computer programs for specific needs in operations research and operations management. An easy to use linear programming optimization software is available which is a toolbox for teaching and showing operations management to students is also available consisting of a plant...


Platforms: Mac

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...


Platforms: Matlab

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...


Platforms: Matlab

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...


Platforms: Matlab

GS-Calc is a spreadsheet application that will help you to organize your data, track your expenses and incomes, create reports, search and edit databases. Using fast GS-Calc pivot tables and other advanced functions you can perform the most demanding statistical calculations and data analysis....


Platforms: Windows

This is a Matlab code for optimizing a plane truss by two methods : Fully Stress Design and Sequential Linear Programming. In SLD, we deal with the Euler buckling condition and some other constraints.


Platforms: Matlab

The five programs provided solve several process design problems. These examples were originally provided as applications of process design optimization by Edgar, Himmelblau and Lasdon in their excellent book entitled Optimization of Chemical Processes, McGraw-Hill International Edition, 2001....


Platforms: Matlab

Refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have linear constraints. Specialized Linear programming algorithms based on the Simplex Algorithm and duality are included along with a...


Platforms: Windows

Classical optimal hedge ratio concentrates on risk reduction and neglects strategic value maximization. In this study, the authors use stochastic-optimization theories to formulate an optimal, short-term hedging scheme to mitigate risks while maximizing portfolio value. Stochastic spot and...


Platforms: Matlab