Operations Research

For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.Designed to meet the needs of beginning through advanced students, this text 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 (R), Excel (R) spreadsheets, Excel Solver (R), LINGO (R) and AMPL (R). These tools are integrated throughout the text in a manner that facilitates introducing and testing concepts that otherwise could not be presented effectively. Many concepts can be demonstrated instantly, simply by changing the data of the problem. For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.Designed to meet the needs of beginning through advanced students, this text 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 (R), Excel (R) spreadsheets, Excel Solver (R), LINGO (R) and AMPL (R). These tools are integrated throughout the text in a manner that facilitates introducing and testing concepts that otherwise could not be presented effectively. Many concepts can be demonstrated instantly, simply by changing the data of the problem.