Linear Optimization

This is a program that generates a test problem for linear optimization with a sparse matrix. The test problem is of the kindmin c'*xs.t. Aeq*x=beq lb

Powerful tool for nonlinear constrained optimization.You have an object, which should be improved by optimum coordination of several parameters, and its mathematical model, computing efficiency index depending on these parameters. Using IOSO NS GT, you can quickly and efficiently solve non-linear...

A minimalistic tool for molecular phylogenetics able to recover phylogenies from nucleotide sequences. PhyloCoco uses the likelihood or the minimum evolution criterion, and automatically selects the best substitution model of DNA evolution for the dataset analyzed.PhyloCoco key-features are: -...


Platforms: Mac

A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be...


Platforms: Matlab

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the...


Platforms: Matlab

Combean project is a Java framework for combinatorial structures like graphs or linear programs and optimization algorithms working with these structures. The objective of Combean is to integrate existing proven optimization packages as well as new implementations through a set of lean Java...


Platforms: *nix

This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is available on the MATLAB core. The PSO performs very well...


Platforms: Matlab

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and...


Platforms: Matlab

It estimates the Newton Raphson optimization procedure for (m) unknowns of (n) non-linear equations. In case no Jacobian vector is presented, then the initial Jacobian vector is estimated by Broyden Method (multivariate secant approach) and it is then updated using the Sherman Morrison...


Platforms: Matlab

This is a wrapper function to solve optimization problems (using FMINCON) of the form:min w.r.t. X of CostFunc(X) = beta*(W_ls*F(X)) + (1 - beta)*(max(W_mm*F(X)))subject to: A*X


Platforms: Matlab

This book starts with a review of parameter optimization and then treats dynamic optimization, first with fixed final time and no constraints, next with terminal contraints, and finally with terminal constraints and open final time. This is followed by chapters on linear-quadratic problems and...


Platforms: Matlab

Free 1-hour search engine optimization crash course on the basics of search engine optimization & how to submit to search engines. The course is broken down into 10 chapters: 1. What Is Search Engine Optimization? 2. Search Engine Optimization Part 1: Meta Tags 3. Search Engine...


Platforms: Windows

The Portfolio Optimization model calculates the optimal capital weightings for a basket of investments that gives the highest return for the least risk. The unique design of the model enables it to be applied to either financial instrument or business portfolios. The ability to apply...


Platforms: Windows

Cut 1D X is an Automation Component used for obtaining optimal cutting designs of one dimensional pieces which may have angles different of 90 degrees at their extremities. Cut 1D X can be used for cutting linear pieces such as bars, pipes, tubes, steel bars, or any other material used by...


Platforms: Windows

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

Optimization Algorithm Toolkit is a workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations, graphing, visualizations and much more. The project...


Platforms: *nix

PC Brother Memory Optimization Free is a powerful but easy-to-use system application that can optimize your PC, as well as show you the current system usage in both graph and by numbers. It can help your PC operate more efficiently and run faster. This totally free application is user...


Platforms: Windows

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

The Memory Optimization tool was developed to be a powerful but easy-to-use system application that can optimize your PC. Usage tab window of Memory Optimization lets you see the CPU memory and page file usage levels. Settings window of Memory Optimization will allow users to set the display mode...


Platforms: Windows

PC Brother Memory Optimization is a powerful but easy-to-use system application that can optimize your PC, as well as show you the current system usage in both graph and by numbers. It can help your PC operate more efficiently and run faster. This totally free application is user friendly. To...


Platforms: Windows