Linear and nonlinear programming
Material type:
TextSeries: McGraw-Hill series in industrial engineering and management sciencePublication details: New York, N.Y. : McGraw-Hill, ©1996Description: xxvi, 692 pages : illustrationsISBN: 9780070460652; 0070460655Subject(s): Linear programming | Nonlinear programmingDDC classification: 519.7 | Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Main Library Stacks | Reference | 519.7 NAS (Browse shelf(Opens below)) | Available | 009427 | ||
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Main Library Stacks | Reference | 519.7 NAS (Browse shelf(Opens below)) | Available | 009101 | ||
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Main Library Reference | Reference | 519.7 NAS (Browse shelf(Opens below)) | Available | 008558 |
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| 519.54 RAD Linear Statistical Inference and Its Applications | 519.54 SAX Statistical inference | 519.54 SAX Statistical inference | 519.7 NAS Linear and nonlinear programming | 519.7 NAS Linear and nonlinear programming | 519.72 CHA Essentials of Linear Programming | 519.72 HAD Linear Programming |
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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