<p>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, multi
Solving Optimization Problems with MATLAB (De Gruyter STEM)
โ Scribed by Dingyรผ Xue
- Publisher
- De Gruyter
- Year
- 2020
- Tongue
- English
- Leaves
- 344
- Series
- de Gruyter Stem
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The book focused on solving equations and optimization problems with MATLAB.
The topics on unconstrained optimization, linear and quadratic programming, nonlinear constrained optimization problems, mixed integer programming, multi-objective programming, dynamic programming and intelligent optimization methods are covered. With extensive exercises, the book sets up a new viewpoint for the readers in understanding linear algebra problems.
โฆ 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
๐ SIMILAR VOLUMES
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