Introduction to Operations Research
10th Edition
Published on 24. March 2014
Book
Hardback
1048 pages
978-0-07-352345-3 (ISBN)
Description
For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.
More details
Edition
10th edition
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Dimensions
Height: 262 mm
Width: 208 mm
Thickness: 38 mm
Weight
1834 gr
ISBN-13
978-0-07-352345-3 (9780073523453)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Professor emeritus of operations research at Stanford University. Dr. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and college for writing, mathematics, debate, and music, he ranked first in his undergraduate engineering class and was awarded three national fellowships (National Science Foundation, Tau Beta Pi, and Danforth) for graduate study. Dr. Hilliers research has extended into a variety of areas, including integer programming, queueing theory and its application, statistical quality control, and production and operations management. He also has won a major prize for research in capital budgeting.
1995 No primary address
1995 No primary address
Content
1 Introduction 2 Overview of the Operations Research Modeling Approach 3 Introduction to Linear Programming 4 Solving Linear Programming Problems: The Simplex Method 5 The Theory of the Simplex Method 6 Duality Theory 7 Linear Programming under Uncertainty 8 Other Algorithms for Linear Programming 9 The Transportation and Assignment Problems 10 Network Optimization Models 11 Dynamics Programming 12 Integer Programming13 Nonlinear Programming14 Metaheuristics15 Game Theory16 Decision Analysis17 Queing ANalysis18 Inventory Analysis19 Markov Decision Processes20 SimulationAppendix 1 Documentation for the OR CoursewareAppendex 2 ConvexityAppendix 3 Classical Optimization MethodsAppendix 4 Matricies and Matrix OperationsAppendix 5 Table for a Normal Distribution