Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: thebookforest.com, San Rafael, CA, U.S.A.
Condizione: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: California Books, Miami, FL, U.S.A.
EUR 76,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. 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.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 81,50
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 82,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Revaluation Books, Exeter, Regno Unito
EUR 110,87
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 686 pages. 10.00x7.00x1.55 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 115,07
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 127,87
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 100,83
Quantità: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Revaluation Books, Exeter, Regno Unito
EUR 77,51
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 686 pages. 10.00x7.00x1.55 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Majestic Books, Hounslow, Regno Unito
EUR 113,80
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: CitiRetail, Stevenage, Regno Unito
EUR 81,52
Quantità: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: moluna, Greven, Germania
EUR 79,81
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 118,55
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 111,57
Quantità: 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2021
ISBN 10: 1108494315 ISBN 13: 9781108494311
Da: preigu, Osnabrück, Germania
EUR 82,90
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Beyond the Worst-Case Analysis of Algorithms | Tim Roughgarden | Buch | Gebunden | Englisch | 2021 | Cambridge University Press | EAN 9781108494311 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.