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An Introductory Approach to Operations Research

An Introductory Approach to Operations Research
Author: Robert J. Thierauf
Publisher: John Wiley & Sons
Total Pages: 432
Release: 1978
Genre: Business & Economics
ISBN:

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Overview of operations research. Operations research - an introduction. Operations research models-algebra. Breakeven analysis. Inventory control models. Operations research models-probability and statistics. Decision making with a variable demand. PERT/Time and PERT/Cost. Operations research models-matrix algebra. Linear programming-graphic and simplex methods. Transportation methods. Dynamic programming. Markov analysis. Operations research models-simulation techniques. Queuing models. Simulation. Future of operations research. Operations research-present and future.


Operations Research

Operations Research
Author: Michael Carter
Publisher: CRC Press
Total Pages: 448
Release: 2018-08-06
Genre: Business & Economics
ISBN: 1498780113

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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

Introduction to Operations Research
Author: Frederick S. Hillier
Publisher: McGraw-Hill Companies
Total Pages: 986
Release: 1990
Genre: Business & Economics
ISBN:

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Introduction to Operations Research

Introduction to Operations Research
Author: Frederick S. Hillier
Publisher:
Total Pages: 964
Release: 2021
Genre: Computers
ISBN: 9781260575873

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"Introduction to Operations Research is the worldwide gold standard for textbooks in operations research. This famous text, around since the early days of the field, has grown into a contemporary 21st century eleventh edition with the infusion of new state-of-the-art content."--


Operations Research: Introduction To Models And Methods

Operations Research: Introduction To Models And Methods
Author: Richard Johannes Boucherie
Publisher: World Scientific
Total Pages: 512
Release: 2021-10-26
Genre: Mathematics
ISBN: 9811239363

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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

Introduction to Operations Research
Author: Billy E. Gillett
Publisher: McGraw-Hill Companies
Total Pages: 646
Release: 1976
Genre: Operations research
ISBN:

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Introduction to Operations Research

Introduction to Operations Research
Author: Frederick S. Hillier
Publisher: McGraw-Hill Science, Engineering & Mathematics
Total Pages: 0
Release: 1995
Genre: Operations research
ISBN: 9780078414473

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Disk contains: OR Courseware to accompany text, featuring demostration examples, interactive routines, and automatic routines.


Introduction to the Mathematics of Operations Research with Mathematica®

Introduction to the Mathematics of Operations Research with Mathematica®
Author: Kevin J. Hastings
Publisher: CRC Press
Total Pages: 588
Release: 2018-10-24
Genre: Business & Economics
ISBN: 142001739X

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The breadth of information about operations research and the overwhelming size of previous sources on the subject make it a difficult topic for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica®, Second Edition delivers a concise analysis that benefits professionals in operations research and related fields in statistics, management, applied mathematics, and finance. The second edition retains the character of the earlier version, while incorporating developments in the sphere of operations research, technology, and mathematics pedagogy. Covering the topics crucial to applied mathematics, it examines graph theory, linear programming, stochastic processes, and dynamic programming. This self-contained text includes an accompanying electronic version and a package of useful commands. The electronic version is in the form of Mathematica notebooks, enabling you to devise, edit, and execute/reexecute commands, increasing your level of comprehension and problem-solving. Mathematica sharpens the impact of this book by allowing you to conveniently carry out graph algorithms, experiment with large powers of adjacency matrices in order to check the path counting theorem and Markov chains, construct feasible regions of linear programming problems, and use the "dictionary" method to solve these problems. You can also create simulators for Markov chains, Poisson processes, and Brownian motions in Mathematica, increasing your understanding of the defining conditions of these processes. Among many other benefits, Mathematica also promotes recursive solutions for problems related to first passage times and absorption probabilities.