Über den Autor
César Perez Lopez is a Professor at the Department of Statistics and Operations Research at the University of Madrid. César Perez Lopez is also a Mathematician and Economist at the National Statistics Institute (INE) in Madrid, a body which belongs to the Superior Systems and Information Technology Department of the Spanish Government. César also currently works at the Institute for Fiscal Studies in Madrid.
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
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
MATLAB Optimization Techniques introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. It begins by introducing the MATLAB environment and the structure of MATLAB programming before moving on to the mathematics of optimization. The central part of the book is dedicated to MATLAB's Optimization Toolbox, which implements state-of-the-art algorithms for solving multiobjective problems, non-linear minimization with boundary conditions and restrictions, minimax optimization, semi-infinitely constrained minimization and linear and quadratic programming. A wide range of exercises and examples are included, illustrating the most widely used optimization methods.