Linear Optimization

Linear Interpolation Calculator is a free solution that gives you the possibility to interpolate between values to arrive to the correct intermediate result. Linear interpolation has many uses usually in steam tables to find the unknown value. Platforms: Windows

This script defines the Matrix class, an implementation of a linear algebra matrix. Arithmetic operations, trace, determinant, and minors are defined for it. This is a lightweight alternative to a numerical Python package for people who need to do basic linear algebra. Vectors are implemented as... Platforms: Windows, Mac, *nix, Python, BSD Solaris

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 is a simple way of expressing non-linear scales (such as decibels) in python. In stead of:gain = 10 ** (12/10.)Use Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script allows you to run a linear equations solver using eval and built-in complex numbers.One could add one more line to insert '*' where needed, i.e. "100x" -> "100*x", add some input validation, in particular check whether the equation is actually linear and not quadratic or cubic, and... Platforms: Windows, Mac, *nix, Python, BSD Solaris

wen we give the two sequence ,we will get the o/p of linear convolution.the two sequences are computing by particular formula.thus we will got the output from the two sequences. the impulse response also we will get. Platforms: Matlab

Companion software for the Signal Processing & Linear Systems book by B.P. Lathi Platforms: Matlab

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

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

Particle swarm optimization is a technique used in many control systems application. Here i used the PSO in PID controller tuning 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

The files in this folder solve the optimization case studies described in the paper "VaR vs CVaR in Risk Management and Optimization" by Sarykalin,S., Serraino,G., and Uryasev,S., in Tutorials in Operations Research, INFORMS 2008 (download www.ise.ufl.edu/uryasev/VaR_vs_CVaR_INFORMS.pdf... Platforms: Matlab

This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.Note: You will need to have the following products installed in order to run this demo: MATLAB, Simulink, Optimization Toolbox,... Platforms: Matlab

GANSO is a programming library for global and nonsmooth, nonlinear optimization. Unlike local methods (e.g., quasi-Newton), global optimization methods aim at locating the absolute minimum of a function, not the nearest stationary point. GANSO toolbox provides an interface for calling GANSO... Platforms: Matlab

Linear feedback shift registers (LFSR) are a simple method of generating sequences, including pseudorandom number sequences. The LFSR code provided is very unrestricted, allowing for any feedback polynomial, initial state or decimation factor. The code is written for a 32 bit LFSR, but minor... Platforms: Matlab

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting... 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

Deterministic unconstrained optimization method using Powell. Platforms: Matlab

Fiels from the webinar: Speeding up optimization problems with parallel computing Platforms: Matlab

SNTO is a global optimization method where many points are generated in a multi-dimensional domain; the optimum point is selected and the domain is contracted around the neighborhood of the optimum. See for example: Number-Theoretic Methods in Statistics By K?ai-t?ai Fang, Yuan Wang Platforms: Matlab