UID:
almahu_9949198419502882
Format:
XI, 581 p.
,
online resource.
Edition:
1st ed. 2004.
ISBN:
9783662080115
Content:
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.
Note:
1 Formulation -- 2 Geometry of Linear Programming -- 3 The Simplex Algorithm -- 4 Duality Theory -- 5 Advanced Linear Programming -- 6 Sensitivity Analysis -- 7 Transportation Problems -- 8 Network Analysis -- 9 Project Management -- 10 Sequencing Problems -- 11 Integer Programming -- 12 Dynamic Programming -- 13 Nonlinear Programming -- 14 Search Techniques -- 15 Geometric Programming -- 16 Goal Programming -- 17 Games Theory -- 18 Special Topics -- Appendix: Objective Type Questions -- Answers.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783642072703
Additional Edition:
Printed edition: ISBN 9783540401384
Additional Edition:
Printed edition: ISBN 9783662080122
Additional Edition:
Printed edition: ISBN 9783662559321
Language:
English
Subjects:
Economics
,
Mathematics
DOI:
10.1007/978-3-662-08011-5
URL:
https://doi.org/10.1007/978-3-662-08011-5
URL:
Volltext
(URL des Erstveröffentlichers)
