Linear Programming: Methods and Applications / Saul I.Gass
Material type:
TextLanguage: English Publication details: Dover, Newyork : ©2003Edition: 5th edDescription: xi,532pISBN: - 9780486432847
- 519.7 GasL
| Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
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Reference
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Indian Institute of Technology Tirupati Reference | Mathematics | REF 519.7 GasL5 (12241) (Browse shelf(Opens below)) | Copy 1 | Not for loan | 12241 | |
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Indian Institute of Technology Tirupati General Stacks | Mathematics | 519.7 GasL (12242) (Browse shelf(Opens below)) | Copy 2 | Available | 12242 |
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| REF 519.544 ShaT The Jackknife and Bootstrap | REF 519.55 ShuT4 Time Series Analysis and Its Applications : With R Examples/ | REF 519.56 LehT3 Testing Statistical Hypotheses / | REF 519.7 GasL5 (12241) Linear Programming: Methods and Applications / | REF 519.82 HarP Performance Modeling and Design of Computer Systems : | REF 530.1101 DraD Differential Forms and the Geometry of General Relativity/ | REF 530.15 BoaM3 Mathematical Methods in the Physical Sciences / |
“One of the best introductory books on linear programming … excellent.” — Journal of the American Statistical Association.
“A good elementary text. ”— Mathematical Reviews.
Clear and comprehensive in its coverage of the entire spectrum of linear programming techniques, this volume introduces theoretical, computational, and applied concepts. Considerations of theoretical and computational methods include the general linear programming problem, the simplex computational procedure, the revised simplex method, the duality problems of linear programming, degeneracy procedures, parametric linear programming and sensitivity analysis, and additional computational techniques. The treatment of applications covers the transportation problem and general linear programming applications, and a final part examines nonlinear programming. Numerical examples and exercises with selected answers appear in every chapter.
Useful both as a text and as a reference, this volume provides valuable help to research analysts, applied mathematicians, economists, statisticians, and others wishing to make effective use of modern programming techniques.
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