Introduction to Operations Research Techniques
Title | Introduction to Operations Research Techniques PDF eBook |
Author | Hans G. Daellenbach |
Publisher | |
Total Pages | 652 |
Release | 1978 |
Genre | Business & Economics |
ISBN |
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Operations Research: Introduction To Models And Methods
Title | Operations Research: Introduction To Models And Methods PDF eBook |
Author | Richard Johannes Boucherie |
Publisher | World Scientific |
Total Pages | 512 |
Release | 2021-10-26 |
Genre | Mathematics |
ISBN | 9811239363 |
This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.
Introduction to operations research techniques
Title | Introduction to operations research techniques PDF eBook |
Author | Hans Georg Daellenbach |
Publisher | |
Total Pages | 603 |
Release | 1978 |
Genre | |
ISBN | 9780205061204 |
Operations Research
Title | Operations Research PDF eBook |
Author | Michael Carter |
Publisher | CRC Press |
Total Pages | 448 |
Release | 2018-08-06 |
Genre | Business & Economics |
ISBN | 1498780113 |
Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. The text accomplishes two goals. First, it provides readers with an introduction to standard mathematical models and algorithms. Second, it is a thorough examination of practical issues relevant to the development and use of computational methods for problem solving. Highlights: All chapters contain up-to-date topics and summaries A succinct presentation to fit a one-term course Each chapter has references, readings, and list of key terms Includes illustrative and current applications New exercises are added throughout the text Software tools have been updated with the newest and most popular software Many students of various disciplines such as mathematics, economics, industrial engineering and computer science often take one course in operations research. This book is written to provide a succinct and efficient introduction to the subject for these students, while offering a sound and fundamental preparation for more advanced courses in linear and nonlinear optimization, and many stochastic models and analyses. It provides relevant analytical tools for this varied audience and will also serve professionals, corporate managers, and technical consultants.
Introduction to Operations Research Techniques
Title | Introduction to Operations Research Techniques PDF eBook |
Author | Hans G. Daellenbach |
Publisher | Allyn & Bacon |
Total Pages | 711 |
Release | 1983 |
Genre | Investigacion de operaciones |
ISBN | 9780205077182 |
Introduction to Operations Research Techniques
Title | Introduction to Operations Research Techniques PDF eBook |
Author | Hans G. Daellenbach |
Publisher | |
Total Pages | 277 |
Release | 1983 |
Genre | Operations research |
ISBN | 9780205077199 |
Deterministic Operations Research
Title | Deterministic Operations Research PDF eBook |
Author | David J. Rader |
Publisher | John Wiley & Sons |
Total Pages | 631 |
Release | 2013-06-07 |
Genre | Mathematics |
ISBN | 1118627350 |
Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and algorithms are key components to problem-solving 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 clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development. Treating real-world 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. Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including label-correcting 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 problems-linear and integer programs-as guides. The book’s various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with MapleTM and MATLAB® content for the discussed calculations. Thoroughly class-tested to ensure a straightforward, hands-on approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upper-undergraduate 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.