Optimization in operations research
By: Rardin, Ronald L
Material type: BookPublisher: Essex, England : Prentice Education Limited, 2014.Description: xvi, 919 p. : ill. ; 23 cm.ISBN: 9781292042473Subject(s): Programming (Mathematics) | Operations research | Mathematical optimizationDDC classification: 519.7 Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 519.7 RA OP (Browse shelf) | Available | T0012953 |
Includes bibliographical references and index.
1. Problem Solving with Mathematical Models. 2. Deterministic Optimization Models in Operations Research. 3. Improving Search. 4. Linear Programming Models. 5. Simplex Search for Linear Programming. 6. Interior Point Methods for Linear Programming. 7. Duality and Sensitivity in Linear Programming. 8. Multiobjective Optimization and Goal Programming. 9. Shortest Path and Discrete Dynamic Programming. 10. Network Flows. 11. Discrete Optimization Models. 12. Discrete Optimization Methods. 13. Unconstrained Nonlinear Programming. 14. Constrained Nonlinear Programming.
For first courses in operations research, operations management. Covers a broad range of optimization techniques, including linear programming, network flows, integer/combinational optimization, and nonlinear programming. Emphasizes the importance of modeling and problem formulation, this text teaches students how to apply algorithms to real-world problems to arrive at optimal solutions. Visit the author-maintained web site athttp: //comp.uark.edu/ rrardin/oorboo