Ebook: Introductory Operations Research: Theory and Applications
- Tags: Operation Research/Decision Theory, Operations Research Management Science, Appl.Mathematics/Computational Methods of Engineering, Game Theory Economics Social and Behav. Sciences, Engineering Economics Organization Logistics Market
- Year: 2004
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This introductory text provides undergraduate and graduate students with a concise and practical introduction to the primary concepts and techniques of optimization. Practicing engineers and managers will also find useful its concentration on problems and examples relevant to them. With a strong emphasis on basic concepts and techniques throughout, the book explains the theory behind each technique as simply as possible, along with illustrations and worked examples. It gives a balanced treatment of both the linear and nonlinear programming, plus search techniques, geometric programming, and game theory. Some typical problems varying in difficulty level are solved so readers can appreciate intricacies of the underlying concepts useful for practical problem solving. Suitable for individual or group learning, the book also includes numerous end-of-chapter problems for study and review.
This introductory text provides undergraduate and graduate students with a concise and practical introduction to the primary concepts and techniques of optimization. Practicing engineers and managers will also find useful its concentration on problems and examples relevant to them. With a strong emphasis on basic concepts and techniques throughout, the book explains the theory behind each technique as simply as possible, along with illustrations and worked examples. It gives a balanced treatment of both the linear and nonlinear programming, plus search techniques, geometric programming, and game theory. Some typical problems varying in difficulty level are solved so readers can appreciate intricacies of the underlying concepts useful for practical problem solving. Suitable for individual or group learning, the book also includes numerous end-of-chapter problems for study and review.
This introductory text provides undergraduate and graduate students with a concise and practical introduction to the primary concepts and techniques of optimization. Practicing engineers and managers will also find useful its concentration on problems and examples relevant to them. With a strong emphasis on basic concepts and techniques throughout, the book explains the theory behind each technique as simply as possible, along with illustrations and worked examples. It gives a balanced treatment of both the linear and nonlinear programming, plus search techniques, geometric programming, and game theory. Some typical problems varying in difficulty level are solved so readers can appreciate intricacies of the underlying concepts useful for practical problem solving. Suitable for individual or group learning, the book also includes numerous end-of-chapter problems for study and review.
Content:
Front Matter....Pages I-XI
Formulation....Pages 1-32
Geometry of Linear Programming....Pages 33-62
The Simplex Algorithm....Pages 63-105
Duality Theory....Pages 107-129
Advanced Linear Programming....Pages 131-167
Sensitivity Analysis....Pages 169-204
Transportation Problems....Pages 205-252
Network Analysis....Pages 253-276
Project Management....Pages 277-305
Sequencing Problems....Pages 307-324
Integer Programming....Pages 325-347
Dynamic Programming....Pages 349-375
Nonlinear Programming....Pages 377-412
Search Techniques....Pages 413-432
Geometric Programming....Pages 433-455
Goal Programming....Pages 457-493
Games Theory....Pages 495-507
Special Topics....Pages 509-528
Back Matter....Pages 529-581
This introductory text provides undergraduate and graduate students with a concise and practical introduction to the primary concepts and techniques of optimization. Practicing engineers and managers will also find useful its concentration on problems and examples relevant to them. With a strong emphasis on basic concepts and techniques throughout, the book explains the theory behind each technique as simply as possible, along with illustrations and worked examples. It gives a balanced treatment of both the linear and nonlinear programming, plus search techniques, geometric programming, and game theory. Some typical problems varying in difficulty level are solved so readers can appreciate intricacies of the underlying concepts useful for practical problem solving. Suitable for individual or group learning, the book also includes numerous end-of-chapter problems for study and review.
Content:
Front Matter....Pages I-XI
Formulation....Pages 1-32
Geometry of Linear Programming....Pages 33-62
The Simplex Algorithm....Pages 63-105
Duality Theory....Pages 107-129
Advanced Linear Programming....Pages 131-167
Sensitivity Analysis....Pages 169-204
Transportation Problems....Pages 205-252
Network Analysis....Pages 253-276
Project Management....Pages 277-305
Sequencing Problems....Pages 307-324
Integer Programming....Pages 325-347
Dynamic Programming....Pages 349-375
Nonlinear Programming....Pages 377-412
Search Techniques....Pages 413-432
Geometric Programming....Pages 433-455
Goal Programming....Pages 457-493
Games Theory....Pages 495-507
Special Topics....Pages 509-528
Back Matter....Pages 529-581
....