Dover Books on Computer Science Ser.: Combinatorial Optimization : Algorithms and Complexity by Kenneth Steiglitz and Christos H. Papadimitriou (1998, Trade Paperback)
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Combinatorial Optimization : Algorithms and Complexity, Paperback by Papadimitriou, Christos H.; Steiglitz, Kenneth, ISBN 0486402584, ISBN-13 9780486402581, Brand New, Free shipping in the US A text for a range of graduate courses, with some of the material suitable for students of computer science with a background in the theory of algorithms and some suitable for those with a background in operations research. Corrected and unabridged from the 1982 publication by Prentice-Hall, with a new preface. Annotation c. by Book News, Inc., Portland, Or.
AuthorKenneth Steiglitz, Christos H. Papadimitriou
SeriesDover Books on Computer Science Ser.
FormatTrade Paperback
Dimensions
Item Height1 in
Item Weight21.7 Oz
Item Length8.5 in
Item Width5.5 in
Additional Product Features
Intended AudienceCollege Audience
LCCN98-021476
Dewey Edition21
Dewey Decimal519.3
Edition DescriptionUnabridged edition,New Edition
SynopsisThis clearly written, mathematically rigorous text includes a novel algorithmic exposition of the simplex method and also discusses the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; approximation algorithms, local search heuristics for NP-complete problems, more. All chapters are supplemented by thought-provoking problems. A useful work for graduate-level students with backgrounds in computer science, operations research, and electrical engineering. "Mathematicians wishing a self-contained introduction need look no further." -- American Mathematical Monthly., This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; local search heuristics for NP-complete problems, more. 1982 edition., Clearly written graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; approximation algorithms, local search heuristics for NP-complete problems, more. "Mathematicians wishing a self-contained introduction need look no further." -- American Mathematical Monthly. 1982 edition.