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INTRODUCTION TO OPERATION RESEARCH


HILLIER F.

wydawnictwo: MCGRAW-HILL , rok wydania 2009, wydanie IX

cena netto: 299.00 Twoja cena  284,05 zł + 5% vat - dodaj do koszyka

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 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.

The website will include solutions, 100 worked examples, articles, a testbank, companion software, and eight bonus chapters as well as case studies.


Table of Contents

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 and Sensitivity Analysis
7 Other Algorithms for Linear Programming
8 The Transportation and Assignment Problems
9 Network Optimization Models
10 Dynamic Programming
11 Integer Programming
12 Nonlinear Programming
13 Metaheuristics
14 Game Theory
15 Decision Analysis
16 Markov Chains
17 Queueing Theory
18 Inventory Theory
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendix 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matrices and Matrix Operations
Appendix 5 Table for a Normal Distribution
Supplements on the Online Learning Center
Additional Cases
Supplement to Appendix 3.1 More about LINGO
Supplement to Chapter 7 Linear Goal Programming and Its Solution Procedures
Supplement to Chapter 8 A Case Study with Many Transportation Problems
Supplement 1 to Chapter 18 Derivation of the Optimal Policy for the Stochastic Single-Period Model for Perishable Products
Supplement 2 to Chapter 18 Stochastic Periodic-Review Models
Supplement 1 to Chapter 20 Variance-Reducing Techniques
Supplement 2 to Chapter 20 Regenerative Method of Statistical Analysis
21 The Art of Modeling with Spreadsheets
22 Project Management with PERT/CPM
23 Additional Special Types of Linear Programming Problems
24 Probability Theory
25 Reliability
26 The Application of Queueing Theory
27 Forecasting
28 Examples of Performing Simulations on Spreadsheets with Crystal Ball
Appendix 6 Simultaneous Linear Equation


1088 pages, Paperback

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