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Duality in Optimization and Variational Inequalities (Optimization Theory and Applications)

Duality in Optimization and Variational Inequalities (Optimization Theory and Applications)

Duality in Optimization and Variational Inequalities (Optimization Theory and
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Duality in Optimization and Variational Inequalities (Optimization Theory and Applications) Hardback - 2002

by Goh, C.j

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CRC Press, 2002-05-10. 1. hardcover. New. 0.75x7.01x10.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Duality in Optimization and Variational Inequalities (Optimization Theory and Applications)
  • Author Goh, C.j
  • Binding Hardback
  • Edition 1
  • Condition New
  • Pages 330
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2002-05-10
  • Features Index
  • Bookseller's Inventory # DADAX0415274796
  • ISBN 9780415274791 / 0415274796
  • Weight 1.61 lbs (0.73 kg)
  • Dimensions 10.12 x 6.84 x 0.92 in (25.70 x 17.37 x 2.34 cm)
  • Size 0.75x7.01x10.00
  • Category Mathematics
  • Library of Congress subjects Mathematical optimization, Duality theory (Mathematics)
  • Library of Congress Catalogue Number 2005274958
  • Dewey Decimal Code 515.782
  • Quantity available 1

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Reader reviews for Duality in Optimization and Variational Inequalities (Optimization Theory and Applications)

From the publisher

This comprehensive volume covers a wide range of duality topics ranging from simple ideas in network flows to complex issues in non-convex optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational inequalities, as generalizations to optimization. Duality in Optimization and Variational Inequalities is intended for researchers and practitioners of optimization with the aim of enhancing their understanding of duality. It provides a wider appreciation of optimality conditions in various scenarios and under different assumptions. It will enable the reader to use duality to devise more effective computational methods, and to aid more meaningful interpretation of optimization and variational inequality problems.
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