Applied Mathematics Problems

Here we have modelled a five-phase induction motor and we have applied DTC control technique to the machine Platforms: Matlab

This is an extremely fast implementation of the famous Hungarian algorithm (aslo known as Munkres' algorithm). The new version (V2.2)is about 1.5 times faster than the old version (V2.1). It can solve a 1000 x 1000 problem in about 20 seconds in a Core Duo (T2500 @ 2.00GHz) XP laptop with Matlab... Platforms: Matlab

A skyhook surface sliding mode control method was proposed and applied to the control on the semi-active vehicle suspension system for its ride comfort enhancement. A two degree of freedom dynamic model of a vehicle semi-active suspension system was given, which focused on the passengerd-deOaos... Platforms: Matlab

This algorithm deal with multimodal optimization problems under constraints. Platforms: Matlab

The Kalman filter is actually a feedback approach to minimize the estimation error in terms of sum of square. This approach can be applied to general nonlinear optimization. This function shows a way using the extended Kalman filter to solve some unconstrained nonlinear optimization problems. Two... Platforms: Matlab

The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three... 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

We present a set of functions based on interval arithmetic to solve small size global optimization problems with guaranteed bounds on solutions. Interval analysis can be used to bound ALL solutions of nonlinear optimization problem, equality constrained or not as well to bound ALL solutions of a... Platforms: Matlab

This is a wrapper function to solve optimization problems (using FMINCON) of the form:min w.r.t. X of CostFunc(X) = beta*(W_ls*F(X)) + (1 - beta)*(max(W_mm*F(X)))subject to: A*X Platforms: Matlab

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

It is investigation Reentrance problems of Heart Vi1 Block Simulink Simulator-6 figutres scopes- Platforms: Matlab

This e-book is based on the Student Edition of MATLAB 7, which includes a symbolic toolbox. The Professional Edition may of course also be used. The goal is to exploit a restricted subset of MATLAB commands and functions to explore most of the elements of undergraduate mathematics. All items from... 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

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

This code optimises the parameters for the term structure of volatility (TSOV) applied to historical forward curves - see discussion in Harris in reference 1 below. TSOVs avaible are: TermType - 1 = sigma = A exp (-CT) - 2 = sigma = A exp (-CT) + D - 3 = sigma = (A + BT) exp (-CT) + DRequired... Platforms: Matlab

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... Platforms: Matlab

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). Platforms: Matlab

It is go on investigation heart VI1 block simulink in reentrance problems-6 figures scopes. Platforms: Matlab

Solves the Lotka Volterra and Oregonator problems using GUI to present the results. The results show a limit cycle typical of nonlinear dynamic problems. This work was performed as a small three month project by junior students at INSAT, Tunis, Tunisia. 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