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140122 ||| eng |
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|a 9783662080115
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100 |
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|a Kasana, Harvir Singh
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245 |
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|a Introductory Operations Research
|h Elektronische Ressource
|b Theory and Applications
|c by Harvir Singh Kasana, Krishna Dev Kumar
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250 |
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|a 1st ed. 2004
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2004, 2004
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300 |
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|a XI, 581 p
|b online resource
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505 |
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|a 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
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653 |
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|a Industrial Management
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653 |
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|a Operations Research, Management Science
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653 |
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|a Operations research
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653 |
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|a Engineering mathematics
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653 |
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|a Management science
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653 |
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|a Game Theory
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653 |
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|a Game theory
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653 |
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|a Engineering / Data processing
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653 |
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|a Applications of Mathematics
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653 |
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|a Mathematics
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653 |
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|a Operations Research and Decision Theory
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653 |
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|a Mathematical and Computational Engineering Applications
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700 |
1 |
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|a Kumar, Krishna Dev
|e [author]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b SBA
|a Springer Book Archives -2004
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028 |
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|a 10.1007/978-3-662-08011-5
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856 |
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|u https://doi.org/10.1007/978-3-662-08011-5?nosfx=y
|x Verlag
|3 Volltext
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082 |
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|a 658.403
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520 |
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|a 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
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