Solving optimization problems with MATLAB® / Dingyü Xue.

Format:

Book

Author/Creator:

Xue, Dingyü, author.

Contributor:

Tsinghua University Press,.

Series:

De Gruyter STEM.

De Gruyter STEM

Language:

English

Subjects (All):

Mathematical optimization.

MATLAB.

Physical Description:

1 online resource (XII, 330 p.)

Place of Publication:

Berlin ; Boston : De Gruyter : Tsinghua University Press, [2020]

Language Note:

In English.

Summary:

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.

Contents:

Frontmatter

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

Notes:

Description based on print version record.

ISBN:

9783110667011

3110667010

9783110663693

3110663694

OCLC:

1149406734