EBook: Introduction to Operations Research
10th Edition
0077170814
·
9780077170813
© 2014 | Published: April 1, 2014
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 …
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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 Programming
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
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 Programming
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
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 Programming
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
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 Programming
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
9 The Transportation and Assignment Problems
10 Network Optimization Models
11 Dynamics Programming
12 Integer Programming
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
11 Dynamics Programming
12 Integer Programming
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
13 Nonlinear Programming
14 Metaheuristics
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
15 Game Theory
16 Decision Analysis
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
17 Queing ANalysis
18 Inventory Analysis
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
19 Markov Decision Processes
20 Simulation
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
Appendix 1 Documentation for the OR Courseware
Appendex 2 Convexity
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
Appendix 3 Classical Optimization Methods
Appendix 4 Matricies and Matrix Operations
Appendix 5 Table for a Normal Distribution
Appendix 5 Table for a Normal Distribution
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.