MATLAB Optimization Techniques

• Author: Cesar Perez Lopez
• Language: English
• Published: November 14, 2014   
• Page: 284
• Size:  8 MB
• Format: pdf

What you’ll learn

• The MATLAB environment and MATLAB programming.
• How to solve equations and systems of equations with MATLAB.
• The main features of MATLAB's Optimization Toolbox, which implements state-of-the art algorithms for solving optimization problems.
• How to use MATLAB for multivariate calculus.
• A wide range of optimization techniques, augmented with numerous examples and exercises.

Who this book is for

This book is for anyone who wants to work on optimization problems in a practical, hands-on manner using MATLAB. You'll already have a core understanding of undergraduate level calculus, and have access to an installed version of MATLAB, but no previous experience of MATLAB is assumed.

Table of Contents

1. Introduction to the MATLAB Environment
2. Programming with MATLAB Variables, Numbers, Operators, and Functions
3. Introducing the MATLAB Optimization Toolbox – Linear and Non-Linear Functions
4. Optimized Algorithms for Numerical Calculation Equations
5. Optimizations using Symbolic Computation
6. Core Optimization Techniques through the MATLAB Optimization Toolbox
7. Differentiation in One and Several Variables
8. Optimization in Complex Variables
9. Optimizing Algebraic Expressions, Polynomials, Equations and Systems