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Introduction to Algorithms, fourth edition (English, Hardcover) Brand New Book

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Política de oferta

OBO - El vendedor acepta ofertas en este artículo. Detalles

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Refunds available: See booth/item description for details

Protección de compra

Opciones de pago

PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
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Nuvei accepted

Rasgos del artículo

Categoría:

Adult Learning & University

cantidad disponible:

13 En stock

Condition:

Brand New

ISBN:

9780262046305

Format:

Hardcover

Type:

Textbook

Special Attributes:

Book Club Edition

Language:

English

Subject Area:

Mathematics/Computers

Publication Name:

Introduction to Algorithms, Fourth Edition

Subject:

General/Référence/Programming / Algorithms/Computer Science

Series:

Addison-Wesley Professional Computing Ser.

Author:

Ronald L. Rivest/Clifford Stein/Thomas H. Cormen/Charles E. Leiserson

Brand:

Unbranded

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Publicado en venta:

Más de una semana

Artículo número:

1717282989

Descripción del Artículo

Welcome to Anaira Enterprises your own Wholesale Books Store: Product Description A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learning New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays 140 new exercises and 22 new problems Reader feedback?informed improvements to old problems Clearer, more personal, and gender-neutral writing style Color added to improve visual presentation Notes, bibliography, and index updated to reflect developments in the field Website with new supplementary material About the Author Thomas H. Cormen is Emeritus Professor of Computer Science at Dartmouth College. Charles E. Leiserson is Edwin Sibley Webster Professor in Electrical Engineering and Computer Science at MIT. Ronald L. Rivest is Institute Professor at MIT. Clifford Stein is Wai T. Chang Professor of Industrial Engineering and Operations Research, and of Computer Science at Columbia University. This transit time does not include the seller's handling time. Transit time includes normal weekdays. Often Saturdays, Sundays, and major holidays are not included in transit time estimates. Business day does not include Sundays. Feedback Feedback DSRs (Detailed Seller Ratings). We Strive for 100%Customer Satisfaction and we love to leave positive feedback's for our buyers. Negative feedback is not a solution. So, we request you to contact us and give us a chance to resolve it asap. Thank You and Happy Shopping. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. Thomas H. Cormen is Emeritus Professor of Computer Science at Dartmouth College. Charles E. Leiserson is Edwin Sibley Webster Professor in Electrical Engineering and Computer Science at MIT. Ronald L. Rives