Optimization Techniques in Operation Research
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TextPublication details: Delhi: International Publishing House, 2012Edition: 2nd EditionISBN: 9789381141670DDC classification: 519.3 Summary: This book meets the requirements of Engineering/Science and Management students at graduate and postgraduate level. Main topics discussed in the book are Linear Programming including duality and sensitivity analysis. Non-linear programming including quadratic and separable programming. Transport and assignment problem. Game theory. Integer programming including Traveling Salesman problem. Goal programming including multi-objective programming. Network analysis (CPM and PERT). Sequencing problem. Dynamic programming. New in this Edition Two new chapters, viz., Introduction to Optimization , Classical Optimization Techniques , some more solved, unsolved examples and a new article on processing 2-jobs through k-machines in Chapter 13, have been added in the present edition. Special features of the book 1. A very comprehensive and accessible approach in the presentation of the material. 2. A variety of solved examples to illustrate the theoretical results. 3. A large number of unsolved exercises for practice at the end of each section. 4. Solutions to all unsolved
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Lending Books
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Main Library Stacks | Reference | 519.3 GUP (Browse shelf(Opens below)) | Available | 015897 | ||
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Lending Books
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Main Library Stacks | Reference | 519.3 GUP (Browse shelf(Opens below)) | Available | 015727 |
Browsing Main Library shelves, Shelving location: Stacks, Collection: Reference Close shelf browser (Hides shelf browser)
| 519.201 HOE Introduction To Probability Theory | 519.201 ROH An Introduction To Probability Theory & Mathematical Statistics | 519.28 RAM Perfect Measures: Part-II special Topics | 519.3 GUP Optimization Techniques in Operation Research | 519.3 GUP Optimization Techniques in Operation Research | 519.4 BEN Advanced Mathematical Methods For scientists & engineers | 519.4 CHA Numerical Methods For Engineers |
This book meets the requirements of Engineering/Science and Management students at graduate and postgraduate level. Main topics discussed in the book are Linear Programming including duality and sensitivity analysis. Non-linear programming including quadratic and separable programming. Transport and assignment problem. Game theory. Integer programming including Traveling Salesman problem. Goal programming including multi-objective programming. Network analysis (CPM and PERT). Sequencing problem. Dynamic programming. New in this Edition Two new chapters, viz., Introduction to Optimization , Classical Optimization Techniques , some more solved, unsolved examples and a new article on processing 2-jobs through k-machines in Chapter 13, have been added in the present edition. Special features of the book 1. A very comprehensive and accessible approach in the presentation of the material. 2. A variety of solved examples to illustrate the theoretical results. 3. A large number of unsolved exercises for practice at the end of each section. 4. Solutions to all unsolved
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