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Solving Optimization Problems with MATLAB®

Authors: Dingyü Xue Publisher: De Gruyter Publication date: 2020 Publication language: Angielski Number of pages: 342 Publication formats: EAN: 9783110667011 ISBN: 9783110667011 Category: Applied mathematics Impact of science & technology on society Computer programming / software development Mathematical theory of computation Computer modelling & simulation Publisher's index: - Bibliographic note: -

Description

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.

TOC

  • Preface 6
  • Contents 8
  • 1. An introduction to equations and optimization problems 14
  • 2. Solutions of algebraic equations 20
  • 3. Unconstrained optimization problems 68
  • 4. Linear and quadratic programming 116
  • 5. Nonlinear programming 166
  • 6. Mixed integer programming 220
  • 7. Multiobjective programming 266
  • 8. Dynamic programming and shortest paths 290
  • 9. Introduction to intelligent optimization methods 310
  • Bibliography 332
  • MATLAB function index 334
  • Index 338