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DLP and Extensions: An Optimization Model and Decision Support System

DLP and Extensions: An Optimization Model and Decision Support System

DLP and Extensions: An Optimization Model and Decision Support System Hardback - 2001 - 1st Edition

by J.L. Nazareth

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Hardback. New. DLP denotes a dynamic-linear modeling and optimization approach to computational decision support for resource planning problems that arise, typically, within the natural resource sciences and the disciplines of operations research and operational engineering.
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Details

  • Title DLP and Extensions: An Optimization Model and Decision Support System
  • Author J.L. Nazareth
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 207
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2001-01-26
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # B9783540411147
  • ISBN 9783540411147 / 3540411143
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9.21 x 6.14 x 0.56 in (23.39 x 15.60 x 1.42 cm)
  • Category Business / Economics / Finance
  • Library of Congress Catalogue Number 2001272465
  • Dewey Decimal Code 005.13
  • Quantity available 10

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Reader reviews for DLP and Extensions: An Optimization Model and Decision Support System

From the publisher

DLP denotes a dynamic-linear modeling and optimization approach to computational decision support for resource planning problems that arise, typically, within the natural resource sciences and the disciplines of operations research and operational engineering. It integrates techniques of dynamic programming (DP) and linear programming (LP) and can be realized in an immediate, practical and usable way. Simultaneously DLP connotes a broad and very general modeling/ algorithmic concept that has numerous areas of application and possibilities for extension. Two motivating examples provide a linking thread through the main chapters, and an appendix provides a demonstration program, executable on a PC, for hands-on experience with the DLP approach.
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