Garbage Disposals Problems

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems.Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to...

This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems).

Useful software for teams that have problems with resource bottle-necks, parallel projects, critical dead lines The Plandora project was born to be a tool to help the software development process, since the customer requirement until the task conclusion, and consequently gather the "history" of...


Platforms: Mac

Aids elementary students in learing to solve mathematical word problems through practice. Modes include: addition and subtraction, multipication and division, and mixed. Problems include randomization of numerical values, names, and item labels so that students don't see the same exact problem...


Platforms: Mac

Magic Problems Creator for Mathematics has a powerful Wizard to help you Create your own custom problems collections. ALGEBRA: - Matrices, determinants - Matricial equations - Study of system of equations - Easy and fast to use. - User's manual in PDF format.


Platforms: Windows

It is going on investigations of Heart VI1 simulator simulink,in case of Frequency Cardiac Controled, with unic monitoring scope and compiling problems:1)Problems 1:i think that syntax of simulink accept serial Block Connection2)Problem 2:i think that simulink syntax aceepts easily in feedback...


Platforms: Matlab

It is used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms, which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and...


Platforms: Matlab

have gained more attention in analyzing problems in continuum and fracture mechanicsUnlike Finite Element Method (FEM), meshless methods do not require a predefined elemental mesh, at least in field variables interpolation. Consequently, meshless methods can avoid complicacies and difficulties...


Platforms: Matlab

It contains answers to selected problems from Ingle & Proakis "Digital Signal Processing Using Matlab v4.0" Chapter 3.I hope they're useful for you.


Platforms: Matlab

fminconset: Solves constrained minimization problems where someof the variables are restricted to discrete values. (Mixed IntegerNonlinear optimization). Based on fmincon from Optimization Toolboxversion 2.0.


Platforms: Matlab

It is a tool of quantitative models to handle differenttypes of problems and help decision making. This is doneusing an algorithm to solve the transport problemthe Northwest Corner Method.


Platforms: Matlab

Sometimes, we need to run some problems with many parameters, we need to face some problems.1. We usually give a file to give the initial parameters for program, but usually the parameters are out of help.2. Some parameters need to check for some different values, after that, we need to input...


Platforms: Matlab

The package LaguerreEig calculates a finite number of numerical eigenvalues and eigenfunctions of Schroedinger problems on (0,infinity) and solves linear or nonlinear differential equations on this interval.


Platforms: Matlab

Solves the linear least squares problem with nonnegative variables using the newton's algorithm in:Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative variables, Mathematics of Computation, 63(1994), pp....


Platforms: Matlab

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


Platforms: Matlab

A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to M-QAM modulated MIMO system-type problems, i.e., a lattice decoder with optional justified rectangular boundary control. In such problems, the depth of the search tree is known and the number of children per...


Platforms: Matlab

Constructs discrete least-squares rational approximations to data using the full-Newton algorithm for solving separable non-linear least-squares problems that was developed in:Carlos F. Borges, A Full-Newton Approach to Separable Nonlinear Least Squares Problems and its Application to Discrete...


Platforms: Matlab

Solves the linear least squares problem with nonnegative variables using the predictor-corrector algorithm in:Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative variables, Mathematics of Computation,...


Platforms: Matlab

The package LiScEig calculates a finit number of numerical eigenvalues and eigenfunctions of regular Sturm-Liouville problems using the Chebyshev-tau method.


Platforms: Matlab

Speed Tracer is a tool to help you identify and fix performance problems in your web applications. It visualizes metrics that are taken from low level instrumentation points inside of the browser and analyzes them as your application runs. Speed Tracer is available as a Chrome extension and works...


Platforms: Mac