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  • Textbook
  • © 2017

Optimization and Approximation

Authors:

  • Covers the main three areas of optimization: mathematical programming (linear and non-linear), basic calculus of variations and basic optimal control
  • Easy-to-implement approximation mechanisms treated systematically across all areas of optimization
  • Demonstrates how to approximate optimal solutions to problems that are hard to solve manually
  • Includes supplementary material: sn.pub/extras

Part of the book series: UNITEXT (UNITEXT, volume 108)

Part of the book sub series: La Matematica per il 3+2 (UNITEXTMAT)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiii
  2. Overview

    • Pablo Pedregal
    Pages 1-7
  3. Mathematical Programming

    1. Front Matter

      Pages 9-9
    2. Linear Programming

      • Pablo Pedregal
      Pages 11-32
    3. Nonlinear Programming

      • Pablo Pedregal
      Pages 33-62
    4. Numerical Approximation

      • Pablo Pedregal
      Pages 63-86
  4. Variational Problems

    1. Front Matter

      Pages 87-87
    2. Basic Theory for Variational Problems

      • Pablo Pedregal
      Pages 89-114
  5. Optimal Control

    1. Front Matter

      Pages 137-137
    2. Basic Facts About Optimal Control

      • Pablo Pedregal
      Pages 139-166
  6. Appendix

    1. Front Matter

      Pages 191-191
    2. Hints and Solutions to Exercises

      • Pablo Pedregal
      Pages 193-254

About this book

This book provides a basic, initial resource, introducing science and engineering students to the field of optimization. It covers three main areas: mathematical programming, calculus of variations and optimal control, highlighting the ideas and concepts and offering insights into the importance of optimality conditions in each area. It also systematically presents affordable approximation methods. Exercises at various levels have been included to support the learning process.

Reviews

“This book, consisting of eight chapters, provides an introduction to optimization aimed at engineering and science students. ... This book is equally suitable to those without prior knowledge in the field as well as those already familiar with the key concepts as a useful reference. The book concludes with a very useful appendix containing hints or full solutions to the exercises presented throughout the book.” (Efstratios Rappos, zbMATH 1375.90002, 2018)

Authors and Affiliations

  • Department of Mathematics, University of Castile-La Mancha, Ciudad Real, Spain

    Pablo Pedregal

About the author

Pablo Pedregal  studied Mathematics at U. Complutense (1986) and received his PhD degree from the University of Minnesota at the end of 1989, under the guidance of D. Kinderlehrer. In 1990 he became associate professor at U. Complutense. During the academic year 1994-95 he moved to the young U. de Castilla-La Mancha, and in 1997 he won a full professorship. His field of interest focuses on variational techniques applied to optimization in a broad sense, including, but not limited to, calculus of variations -especially vector, non convex problems, optimal design in continuous media, optimal control, etc, and more recently he has explored variational ideas in areas like controllability, inverse problems, PDEs, and dynamical systems. Since his doctorate, he has regularly traveled to research centers in the USA and Europe. He has written more than one hundred research articles, and several specialized books.

Bibliographic Information

Buy it now

Buying options

eBook USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access