Tora Linear Programming

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...

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.

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 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

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

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

Frontline Systems developed the original Solver for Excel on both Macintosh and Windows. For many years, we've offered Solver upgrades for Windows users, that have gotten more and more powerful over time -- but we haven't been active on the Mac. We're now applying more development resources to...


Platforms: Mac

Reads a CPLEX .sol xml file and extracts the solution. Returned is the solution in form of a column vector x. The cplex solution file can be created with the WRITE command in cplex.Together with the MPS export utility it is possible to export and import linear programming problems and solutions...


Platforms: Matlab

Proc::BackOff::Linear is a generic module meant to be directly inherited from and then modified by overloading the calculate_back_off object method. SYNOPSIS Usage: use Proc::BackOff::Linear; my $obj = Proc::BackOff::Linear->new( { $slope => 5, x => count, b => 0 ); # sequence would be...


Platforms: *nix

TOra is a Toolkit for Oracle which aims to help the DBA or developer of database application. TOra project features PL/SQL debugger, SQL worksheet with syntax highlighting, DB browser and a comprehensive set of DBA tools..


Platforms: *nix

This script is capable of solving a convex quadratic programming problem by Wolf's method. For the convergence of the algorithm it is necessary that either Hessian of the objective function be positive definite or positive semidefinite Hessian with linear term zero. For theory of Wolf method and...


Platforms: Matlab

The Hecl Programming Language is a high-level scripting language implemented in Java. Hecl Programming Language is intended to be small, extensible, extremely flexible, and easy to learn and use. Hecl is intended as a complement to the Java programming language, not a replacement. As such, it...


Platforms: *nix

2E Programming Language (two es, as in ee, or expression evaluator) is a simple algebraic syntax language. It natively supports expressions (composed of operators and operands), and function definitions, and basically nothing else. Therefore, it can be fairly straight-forward to learn (assuming...


Platforms: *nix

PATH is a very different programming language than what you are probably used to if youre an average programmer. If youve programmed in the language Brainf*ck, youll recognize the memory cell architecture. Also, Befunge programmers will recognize the two-dimensional way that PATH programs are...


Platforms: *nix