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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 HTML. Copy and paste also works of course.

Some readers may find this tool valuable if only for the function pleas - a...



Stagewise operation with two different recycle types are considered. The five stages extraction cascade is solved using Simulink. A tank holding the solvent is connected to the extraction cascade. This solvent container is either a perfectly mixed...



Solves the mixed integer nonlinear problem:

min p(x,y)

s.t. f(x,y)



This plugin implements the metadata infrastructure for taxonomy terms, so you can add custom metadata (by key) to tags, categories, and other taxonomies. The majority of the code is from sirzooro's submission to the WordPress Core Trac. The rest...



The archive contains sugenotune.m which is used to tune Sugeno-type FIS outputs. The used methods are ldivide, Kalman filter, pseudoinversion, Kaczmarz algorithm, and gradient descent methods. Though the user can supply sugenotune.m with his own...



The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using...



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



This program fuses/combines/mixes 2 images
It supports both Gray & Color Images
In the program, Alpha Factor can be varied to vary the proportion of mixing of each image.
With Alpha Factor = 0.5, the two images are mixed...



Search the world's libraries and GIS metadata clearinghouses!

This module implements the Z39.50 and SRU protocols for Information Retrieval using the PHP bindings for the YAZ toolkit. With this module you can easily search or scan...



fminconset: Solves constrained minimization problems where some
of the variables are restricted to discrete values. (Mixed Integer
Nonlinear optimization). Based on fmincon from Optimization Toolbox
version 2.0.



What Is Easy PHP Theme Engine?

Easy PHP Theme Engine is, as its name says, a Theme Engine for PHP web sites made with only one purpose: be extremly easy to install and use.

Will Easy PHP Theme Engine fit my web site?



This class will allow Access and MySQL databases to be utilized through a common interface, interchangeably. The class provides the typical abilities needed to fully navigate a database and retrieve results.

All your database needs are...



MATLAB/C mixed implementation for Astar search algorithm

Usage:
1. Extract the zip file
2. Type "Mex Astar.cpp" in MATLAB command window to generate Astar.dll (you must choose to have such ability when installing...



Applies indexing to the fields in a structure in much the same way as subsref.m works with matricies, vectors, etc. The indexing is only applied to fields with n columns (or rows).

Example call: S = subsref_struct(S,i,n,rc)



A replacement for the transfer function normprod.m in the MATLAB NN toolbox. With this transfer function, the NaNs in the simulation of RBF neural networks can be avoided.

The function can handly zeros, and positive and negative...



What Is Easy PHP Theme Engine?

Easy PHP Theme Engine is, as its name says, a Theme Engine for PHP web sites made with only one purpose: be extremly easy to install and use.

Will Easy PHP Theme Engine fit my web site?



Computes the clusters of Pixels based upon their color.
Computes the clusters of Pixels based upon their color. The algorithm is based uopon binary tree quantization technique described by Orchard and Bouman. The code can be used for...



The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using...



The code computes the exact eigenpairs of (1-3)D negative Laplacian on a rectangular finite-difference grid for combinations of Dirichlet, Neumann, and Periodic boundary conditions using explicit formulas from



The zsum.m finds one mixed strategy solution in a zero sum game in which no saddle point is present