Ideal for both novices and seasoned professionals, this book provides balanced coverage of the theory, applications, and computations of operations research techniques—with a focus on deterministic models, probabilistic models, and nonlinear models. Exceptionally up-to-date, it features intensive use of modern computational tools, including the all-new and extremely-powerful Windows-based TORA®, Excel® spreadsheets, Excel Solver®, LINGO® and AMPL®. It uses carefully designed numerical examples to explain each mathematical concept (rather than using complex mathematical proofs). An accompanying CD-ROM includes the TORA® Optimization system, the ready-to-use Excel® templates, files of all the examples in the book for direct use with TORA®, Excel®, LINGO®, and AMPL®. Introduction To Linear Programming. The Simplex Method. Duality and Sensitivity Analysis. Transportation Model and its Variants. Network Models. Advanced Linear Programming. Goal Programming. Integer Linear Programming. Deterministic Dynamic Programming. Deterministic Inventory Models. Review of Basic Probability. Forecasting Models. Decision Analysis and Games. Probabilistic Dynamic Programming. Probabilistic Inventory Models. Queueing Systems. Simulation Modeling. Markovian Decision Process. Classical Optimization Theory. Nonlinear Programming Algorithms. For anyone involved in Operations Research.
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Major revision is designed to meet the needs of beginning through advanced students with an emphasis placed on the formulation and applications aspects. Provides balanced coverage of theory, applications and computations of operations research techniques. Numerical examples are main vehicle for explaining new ideas with each numeric example followed by a set of problems. TORA and SIMNET software included in text. More than 1,000 problems.
This seventh edition continues to build on the strength of the first six editions, providing balanced coverage of the theory, applications, and computations of operations research. Complex mathematical concepts are effectively explained by means of carefully designed numerical examples, essentially eliminating the need for the usually obscure formal mathematical proofs. The book includes fully analyzed practical situations and each chapter concludes with summary applications borrowed from published case studies. The role of modern computational tools in enhancing the effectiveness of operations research as a decision-making tool receives considerable attention in this new edition.
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