This text provides a presentation of theory, applications and computations of operations research. The text uses case studies and exercises to explain the basics of operations research techniques.

Operations research: An introduction

Engineering & Transportation

Taha, Hamdy A.

Engineering

Macmillan

For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.Designed to meet the needs of beginning through advanced students, this text provides balanced coverage of the theory, applications, and computations of operations research techniques-with a focus on deterministic models, probabilistic models, and nonlinear models. Exceptionally up-to-date, it features intensive use of modern computational tools, including the all-new and extremely-powerful Windows-based TORA (R), Excel (R) spreadsheets, Excel Solver (R), LINGO (R) and AMPL (R). These tools are integrated throughout the text in a manner that facilitates introducing and testing concepts that otherwise could not be presented effectively. Many concepts can be demonstrated instantly, simply by changing the data of the problem.

THIS FIFTH EDITION IS A MAJOR REVISION OF OPERATIONS RESEARCH: AM INTRODUCTION. OLD TOPICS HAVE BEEN THROUGHLY REVAMPED AND UPDATED, NEW TOPICS HAVE BEEN ADDED, AND SOFTWARE TAILORED TO THE NEEDS OF THE BOOK HAS BEEN DEVELOPED. THE RESULT IS A VOLUME THAT PROVIDES BALANCED COVERAGE OF THE THEORY, APPLICATIONS AND, COMPUTATIONS OF OPERATIONS RESEARCH.

Operations Research: An Introduction

Reference

PRENTICE/HALL

For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics. Designed to meet the needs of beginning through advanced students, this text provides balanced coverage of the theory, applications, and computations of operations research techniques-with a focus on deterministic models, probabilistic models, and nonlinear models. Exceptionally up-to-date, it features intensive use of modern computational tools, including the all-new and extremely-powerful Windows-based TORAA (R), ExcelA (R) spreadsheets, Excel SolverA (R), LINGOA (R) and AMPLA (R). These tools are integrated throughout the text in a manner that facilitates introducing and testing concepts that otherwise could not be presented effectively. Many concepts can be demonstrated instantly, simply by changing the data of the problem.

Operating Research: An Introduction

Business & Money

Prentice Hall (Higher Education Division, Pearson Education)

Integer Programming: Theory, Applications, and Computations

Science & Math

Mathematics

Academic Pr

Ideal for both novices and seasoned professionals, this book provides balanced coverage of the theory, applications, and computations of operations research techniques—with a focus on deterministic models, probabilistic models, and nonlinear models. Exceptionally up-to-date, it features intensive use of modern computational tools, including the all-new and extremely-powerful Windows-based TORA®, Excel® spreadsheets, Excel Solver®, LINGO® and AMPL®. It uses carefully designed numerical examples to explain each mathematical concept (rather than using complex mathematical proofs). An accompanying CD-ROM includes the TORA® Optimization system, the ready-to-use Excel® templates, files of all the examples in the book for direct use with TORA®, Excel®, LINGO®, and AMPL®. Introduction To Linear Programming. The Simplex Method. Duality and Sensitivity Analysis. Transportation Model and its Variants. Network Models. Advanced Linear Programming. Goal Programming. Integer Linear Programming. Deterministic Dynamic Programming. Deterministic Inventory Models. Review of Basic Probability. Forecasting Models. Decision Analysis and Games. Probabilistic Dynamic Programming. Probabilistic Inventory Models. Queueing Systems. Simulation Modeling. Markovian Decision Process. Classical Optimization Theory. Nonlinear Programming Algorithms. For anyone involved in Operations Research.

Operations Research: An Introduction (7th Edition)

Significantly revised, this book provides balanced coverage of the theory, applications, and computations of operations research. The applications and computations in operations research are emphasized. Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.

Computers & Technology

Pearson College Div

Operations Research: An Introduction, 9/e is ideal for or junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics. This text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts.

Operations Research: An Introduction (9th Edition)

Pearson

The sixth edition of Operations Research: An Introduction continues to provide readers with a balanced presentation of the theory, applications and computations of operations research. KEY TOPICS: The book uses case studies, accompanying software, and comprehensive exercises to explain the basics of operations research techniques. It includes much new material: Floyd's Shortest Route Algorithm, Goal Programming, Analytic Hierarchy Approach, Review of Probability, Probabilistic DP, Simulation Modeling, as well as updated versions of TORA software and the simulation language SIMNET II. A valuable reference book for professionals in a variety of fields, including Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.

Operations Research: An Introduction (6th Edition)

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Books by Taha, Hamdy A.

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Operations research: An introduction

Operations research: An introduction

Operations Research: An Introduction

Operating Research: An Introduction

Operations research: An introduction

Integer Programming: Theory, Applications, and Computations

Operations Research: An Introduction (7th Edition)

Operations Research: An Introduction

Operations Research: An Introduction (9th Edition)

Operations Research: An Introduction (6th Edition)