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Linear and nonlinear programming

By: Contributor(s): Material type: TextTextSeries: McGraw-Hill series in industrial engineering and management sciencePublication details: New York, N.Y. : McGraw-Hill, ©1996.Description: xxvi, 692 pages : illustrationsISBN:
  • 9780070460652
  • 0070460655
Subject(s): DDC classification:
  • 519.7 NAS
Contents:
Part 1 Foundations: optimization models; fundamentals of optimization; representation of linear constraints. Part 2 Linear programming: geometry of linear programming; the simplex method; duality and sensitivity; enhancements of the simplex method; network problems; computationsl complexity of linear programming; basics of unconstrained optimization; methods; low storage methods.
Summary: A complete and unified introduction to applications, theory and algorithms which contains modelling examples, computer based exercises and material on interior point methods and trust-region methods. Gives both numerical methods for optimisation and optomisation problems.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Main Library Stacks Reference 519.7 NAS (Browse shelf(Opens below)) Available 009427
Lending Books Lending Books Main Library Stacks Reference 519.7 NAS (Browse shelf(Opens below)) Available 009101
Reference Books Reference Books Main Library Reference Reference 519.7 NAS (Browse shelf(Opens below)) Available 008558
Total holds: 0

Bibliography & Index

Part 1 Foundations: optimization models; fundamentals of optimization; representation of linear constraints. Part 2 Linear programming: geometry of linear programming; the simplex method; duality and sensitivity; enhancements of the simplex method; network problems; computationsl complexity of linear programming; basics of unconstrained optimization; methods; low storage methods.


A complete and unified introduction to applications, theory and algorithms which contains modelling examples, computer based exercises and material on interior point methods and trust-region methods. Gives both numerical methods for optimisation and optomisation problems.

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