Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 77,57
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,04
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 77,84
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 70,86
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: thebookforest.com, San Rafael, CA, U.S.A.
EUR 48,08
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 75,98
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 77,83
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 84,84
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 96,41
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 82,84
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning. Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 102,96
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 112,84
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 686 pages. 10.00x7.00x1.55 inches. In Stock.
Editore: Cambridge University Press CUP, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 122,15
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 69,66
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 106,09
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning. Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 85,00
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning. Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 125,81
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,92
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 686 pages. 10.00x7.00x1.55 inches. In Stock. This item is printed on demand.
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 79,99
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case anal.