Calculus Optimization Problems

Nero TuneItUp is an optimization, tuning and maintenance tool for Windows PCs which helps you analyze and fix common problems, and optimize system settings. During startup Nero TuneItUp automatically analyzes all weak spots and problems in your system and lists them. The intuitive interface lets... Platforms: Windows, Windows 8, Windows 7, Windows Server

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

PDL::Fit::Levmar is a Perl module with Levenberg-Marquardt fit/optimization routines. Levenberg-Marquardt routines for least-squares fit to functions non-linear in fit parameters. This module provides a PDL ( PDL::PDL ) interface to the non-linear fitting library levmar (written in C). Levmar... Platforms: *nix

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

OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming. Platforms: Windows, Mac, Linux

The Discrete Event Calculus Reasoner is an open source program for performing automated commonsense reasoning using the event calculus, a comprehensive and highly usable logic-based formalism. It solves problems efficiently by converting them into satisfiability (SAT) problems. Features: - Comes... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.To run the first demo run the file... Platforms: Matlab

PyGMO is developed in order to offer a user-friendly access to a wide array of global and local optimization algorithms and problems. Basically, PyGMO is a C++ / Python platform to easily perform parallel computations of optimization tasks (global and local) via the asynchronous generalized... Platforms: Windows

Statistics Tutorial. A diverse array of solved problems. Specially suited for college Statistics. It contains several topics covered in university classes Platforms: Windows

Interactive Evolutionary Computation (IEC) can handle such optimization problems where the objectives are non-commensurable or explicitly/mathematically not available.IEC is a technique from the class of evolutionary algorithms (EAs), whose fitness function is replaced by a human. The human user... Platforms: Matlab

Java framework for applying meta-heuristic (multi-objective) optimization algorithms like an Evolutionary Algorithm, Particle Swarm Optimizer, Differential Evolution, or Simulated Annealing to arbitrary optimization problems.(visit: http://www.opt4j.org) Platforms: Windows, Mac, Linux

This function decorates a function with tail call optimization. It does this by throwing an exception if it is it's own grandparent, and catching such exceptions to fake the tail call optimization. This function fails if the decorated function recurses in a non-tail contexif the de /> Platforms: Windows, Mac, *nix, Python, BSD Solaris

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

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) compiles various population-based global optimization schemes.It handles both single- and multi-objective optimization, simply by adding additional objective functions.It solves optimization problems using... Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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

An animated simulation of Particles in 2D searching for a global minima of a simple function using Particle Swarm Optimization algorithm Platforms: Matlab

A Java 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. Platforms: Windows, Mac, Linux

A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others. Platforms: Matlab

Demo files for MathWorks webinar "Introduction to Simulink Design Optimization" which occured on 3/26/2009.The recording is available here:http://www.mathworks.com/company/events/we...59&p2=493937477 Platforms: Matlab

This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/wbnr43346MultStart Demos * Peaks Minimization * Nonlinear Curve FittingGlobalSearch Demos * Peaks Minimization * Volumentric Efficiency MaximizationSimulated Annealing Demos *... Platforms: Matlab