Nonlinear Optimization

The proposed algorithm is based on nonlinear derivatives to automatically select the best edge information. This algorithm can replace the classical derivative with the following benefits:- univocal edge localization for synthetic and real images- noise reduction with no regularization: the noise... Platforms: Matlab

NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems, with a little bit more modification this can be... Platforms: Matlab

This ZIP file contains the nonlinear model of anF-16 fighter aircraft in MATLAB/Simulink, Both high-fidelity and low-fidelity aerodynamic data are available, taken from NASA report 1538 and "Aircraft Control and Simulation" by Lewis & Stevens.A trim function is also included.F16dyn.c and... Platforms: Matlab

It is a hill climbing optimization algorithm for finding the minimum of a fitness function in the real space. The space should be constrained and defined properly. It attempts steps on every dimension and proceeds searching to the dimension and the direction that gives the lowest value of the... Platforms: Matlab

The Particle Swarm Optimization Research Toolbox was written to assist with thesis research combating the premature convergence problem of particle swarm optimization (PSO). The control panel offers ample flexibility to accommodate various research directions. After specifying your intentions,... 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

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

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal... Platforms: Matlab

Implements the Complex Method of Constrained Optimization, as proposed by Box (1965), improved by Guin (1968) and Krus (1992), and following the method in Andresson (2001). This is capable of optimizing a "black-box" system with few constraints on the optimization function and requiring no... 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 will find the solution of U''=k*U*U' by using taylor series 3rd order and secant methodit gives an idea about the nonlinear ode method and also gives the idea of solving problem in matlab Platforms: Matlab

Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version... Platforms: Matlab

Estimating plant model parameters and tuning controllers are challenging tasks. Optimization-based methods help to systematically accelerate the tundlTCing process and let engineers tune multiple parameters at the same time. Further efficiencies can be gained by running the optimization in a... 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

This gui based application incorporates all aspects of pulse propagation in Nonlinear media.It uses the master equation for pulse propagation under slow varying envelop approximation known as General Nonlinear Schroedinger equation.This helps you simulate propagation of chirped or non-chirped... Platforms: Matlab

This folder contains a word document (optimization_problem_wth_solution.doc) that contains a description for an optimization problem along with its solution. The folder contains two m-script file that contain the solution for the Gradient_Descent_minimum and Gradient_Descent_maximum problems... Platforms: Matlab

FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you to perform fits with multiple independent (more than one x)... Platforms: Matlab

In the program, an example from the field of nonlinear chemical dynamics is presented. Governing equation and reaction scheme can be found in G. Nicolis, Dynamique Chimique, Thermodynamique, cindoTetique et mdoTecanique statistique, Dunod, Paris 2005. We use the arc length continuation method to... Platforms: Matlab

The package contains a simulink model of a mechanism which verify the angle of the road and adjust the torques by giving a angle to a plate located under the load session.this model is not a very complicated one and would be useful to whom want to:1.get familiar with control designs specially PID... Platforms: Matlab

Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant... Platforms: Matlab