Solving Optimization Problems with MATLAB®

✍ Scribed by Dingyü Xue; Tsinghua University Press

• Publisher: De Gruyter
• Year: 2020
• Tongue: English
• Leaves: 342
• Category: Library

✦ Synopsis

This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.

• Exclusive solvers for nonlinear matrix equations
• Systematic studies on conventional unconstrained and constrained optimization problem solvers
• Attempts on effective global optimization solvers

✦ Table of Contents

Preface
Contents
1. An introduction to equations and optimization problems
2. Solutions of algebraic equations
3. Unconstrained optimization problems
4. Linear and quadratic programming
5. Nonlinear programming
6. Mixed integer programming
7. Multiobjective programming
8. Dynamic programming and shortest paths
9. Introduction to intelligent optimization methods
Bibliography
MATLAB function index
Index