Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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Hardcover. Condition: Fair. No Jacket. Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by New York, Oxford University Press, 1997
ISBN 10: 019510062X ISBN 13: 9780195100624
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 68 CEN 9780195100624 Sprache: Englisch Gewicht in Gramm: 550.
Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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First Edition
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Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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Condition: New.
Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
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Condition: New. This text provides an introduction to the methods of parallel optimization by introducing parallel computing ideas and techniques into both optimization theory and numerical algorithms for large-scale optimization problems. Series: Numerical Mathematics & Scientific Computation. Num Pages: 576 pages, halftones, line figures, tables. BIC Classification: PBW; UYFP. Category: (P) Professional & Vocational. Dimension: 240 x 161 x 31. Weight in Grams: 941. . 1998. hardcover. . . . .
Condition: New. This text provides an introduction to the methods of parallel optimization by introducing parallel computing ideas and techniques into both optimization theory and numerical algorithms for large-scale optimization problems. Series: Numerical Mathematics & Scientific Computation. Num Pages: 576 pages, halftones, line figures, tables. BIC Classification: PBW; UYFP. Category: (P) Professional & Vocational. Dimension: 240 x 161 x 31. Weight in Grams: 941. . 1998. hardcover. . . . . Books ship from the US and Ireland.
Condition: Akzeptabel. Zustand: Akzeptabel | Seiten: 576 | Sprache: Englisch | Produktart: Bücher | Recent technological innovations with the introduction of parallel computer architectures are having a significant impact on every area of scientific computing where large-scale problems are attacked. This comprehensive book provides an introduction to th methods of parallel optimization by introducing parallel computing ideas and techniques into both optimization theory and numerical algorithms for large-scale optimization problems. It also examines significant, broad areas of application in fields as diverse as finance, biomedical and transportation where the problems are particularly suitable for solution on parallel machines, and where substantial progress has been made in recent years with the application of parallel optimization algorithms. The material presented in this book leads to implementable parallel algorithms that have undergone the scrutiny of implementation on a variety of parallel architectures.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Oxford University Press, 1998
ISBN 10: 019510062X ISBN 13: 9780195100624
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a unique pathway to methods of paralleloptimization by introducing parallel computing ideas intoboth optimization theory and into some numerical algorithmsfor large-scale optimization problems. The three parts ofthe book bring together relevant theory, careful study ofalgorithms, and modeling of significant real world problemssuch as image reconstruction, radiation therapy treatmentplanning, financial planning, transportation andmulti-commodity network flow problems, planning underuncertainty, and matrix balancing problems.