In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research. Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies. Features Divides each subject into methods and models, giving you greater flexibility in how you approach the material. Concise and focused presentation highlights central ideas. Many examples throughout the text will help you better understand mathematical material.
Englewood Cliffs, NJ: Prentice-Hall. Bellman, R. 1957. Dynamic Programming. Princeton, NJ: Princeton University Press. ... Dekel, E., D. Nassimi, and S. Sahni. 1981. Parallel matrix and graph algorithms. SIAM Journal on Computing 10 ...
Designed for data scientists, analytics and operations research practitioners, and graduate-level students interested in learning optimization modeling with applied use cases, this book provides the skills to model and solve OR problems ...
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.
Operations Research for Immediate Application: A Quick & Dirty Manual
Last Updated: December 2020 Based on Julia v1.3+ and JuMP v0.21+ The main motivation of writing this book was to help the author himself.
Operations Research: Applications and Algorithms
This is an important contribution to the renewed relevance of OR in a changing America." Prof. Gerald Midgley, Centre for Systems Studies, Business School, University of Hull, UK
This is the first book to offer a complete spectrum of the role that operations research has played and can play in the improvement of North American freight railroads.
The nature of operations research; Linear programming; Network analysis; Advanced topics in linear programming; Probability review; Random processes; Queueing models; Inventory models; Simulation; Dynamic programming; Nonlinear programming.
... H. M. Stationery Office, London, 1948. Operational Analysis in Relation to Administration of Government-Sponsored Research, J. R. Loofbourow, Science, 106, No. 2745, 113–117. 22. 23. 24. 25. Science and Statecraft, Marshall H. Stone,