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Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes

Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes

Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes Hardback - 2010

by Lorenz T. Biegler

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Hardback. New. Addresses modern nonlinear programming (NLP) concepts and algorithms, especially as they apply to challenging applications in chemical process engineering. The author provides a firm grounding in fundamental NLP properties and algorithms, and relates them to real-world problem classes in process optimization.
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Details

  • Title Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes
  • Author Lorenz T. Biegler
  • Binding Hardback
  • Condition New
  • Pages 416
  • Volumes 1
  • Language ENG
  • Publisher Society for Industrial and Applied Mathematic
  • Publication date 2010-09
  • Illustrated Yes
  • Bookseller's Inventory # A9780898717020
  • ISBN 9780898717020 / 0898717027
  • Weight 1.96 lbs (0.89 kg)
  • Dimensions 9.72 x 6.85 x 1.02 in (24.69 x 17.40 x 2.59 cm)
  • Category Mathematics
  • Library of Congress subjects Chemical processes, Nonlinear programming
  • Library of Congress Catalogue Number 2010013645
  • Dewey Decimal Code 519.76
  • Quantity available 1

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From the publisher

This book addresses modern nonlinear programming concepts and algorithms, especially as they apply to challenging applications in chemical process engineering. It relates the material to real-world problem classes in process optimisation, thus bridging the gap between the mathematical material and the practical uses. Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes shows readers which methods are best suited for specific applications, how large-scale problems should be formulated and what features of these problems should be emphasised, and how existing NLP methods can be extended to exploit specific structures of large-scale optimisation models. The book serves a dual function: it will be useful to chemical engineers who wish to understand and use nonlinear programming; it will also be of interest to experts in mathematical optimisation who want to understand process engineering problems and develop better approaches to solving them.

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