Deterministic Operations Research: Models and Methods in Linear Optimization,Used

Uniquely blends mathematical theory and algorithm design for understanding and modeling realworld problemsOptimization modeling and algorithms are key components to problemsolving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process. Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems. The result is a clearcut resource for understanding three cornerstones of deterministic operations research: modeling realworld problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development.Treating realworld examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications form sports scheduling an the airline industry. Subsequent chapters discuss algorithm design for continuous linear optimization problems, covering topics such as convexity. Farkas Lemma, and the study of polyhedral before culminating in a discussion of the Simplex Method. The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method. DantzigWolfe decomposition, and a primaldual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including labelcorrecting algorithms for the shortest path problem, preprocessing and probing in integer programming, lifting of valid inequalities, and branch and cut algorithms.Concepts and approaches are introduced by outlining examples that demonstrate and motivate theoretical concepts. The accessible presentation of advanced ideas makes core aspects easy to understand and encourages readers to understand how to think about the problem, not just what to think. Relevant historical summaries can be found throughout the book, and each chapter is designed as the continuation of the story of how to both model and solve optimization problems by using the specific problemslinear and integer programsas guides. The books various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with Maple and MATLAB content for the discussed calculations.Thoroughly classtested to ensure a straightforward, handson approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upperundergraduate and graduate levels. It also serves as an insightful reference for individuals working in the fields of mathematics, engineering, computer science, and operations research who use and design algorithms to solve problem in their everyday work.