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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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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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