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"Optimization Theory is becoming a more and more important mathematical as well as interdisciplinary area, especially in the interplay between mathematics and many other sciences like computer science, physics, engineering, operations research, etc." "This volume gives a comprehensive introduction into the theory of (deterministic) optimization on an advanced undergraduate and graduate level." "One main feature is the treatment of both continuous and discrete optimization at the same place. This allows the study of the problems from different points of view, supporting a better understanding of the entire field." "Audience: The book can be adapted well as an introductory textbook into optimization theory on a basis of a two semester course: however, each of its parts can also be taught separately. Many exercise are included to increase the readers' understanding."--BOOK JACKET.
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Subjects
Mathematical optimization, Maxima and minima, Optimization, Discrete Mathematics, Mathematics, Probability & Statistics - General, Philosophy, Computer Science, Linear Programming, Mathematics / Linear Programming, General, Information theory, Computational complexity, Discrete Mathematics in Computer Science, Theory of ComputationEdition | Availability |
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Optimization Theory
July 20, 2004, Springer
Hardcover
in English
- 1 edition
1402080980 9781402080982
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Feedback?September 28, 2024 | Edited by MARC Bot | import existing book |
August 11, 2024 | Edited by MARC Bot | import existing book |
July 31, 2019 | Edited by MARC Bot | associate edition with work OL5010201W |
December 3, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
December 10, 2009 | Created by WorkBot | add works page |