Introduction to Algorithms. Este artículo no está disponible.
Idioma: inglés
Editorial: PHI Learning, 2010
- Tapa blanda
- Usado
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de AmericaWorld of Books Inc
Vendedor de AbeBooks desde 23 de marzo de 2026
Condición: Usado - Regular
EUR 22,45
Descripción del artículo del vendedor
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called Divide-and-Conquer), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide. …
N° de ref. del artículo CIN8120340078A
- Título
- Introduction to Algorithms
- Autor
- Thomas H Cormen
- Editorial
- PHI Learning
- Año de publicación
- 2010
- Estado
- Fair
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 8120340078
- ISBN 13
- 9788120340077
- Edición
- 3ª Edición
This internationally acclaimed textbook provides a comprehensive introduction to the modern study of computer algorithms. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively selfcontained and presents an algorithm, a design technique, an application area, or a related topic. The algorithms are described and designed in a manner to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
The third edition has been revised and updated throughout. It includes two completely new chapters, on Van Emde Boas trees and Multithreaded algorithms, and substantial additions to the chapter on recurrences (now called ?Divide and Conquer?). It features improved treatment of dynamic programming and greedy algorithms and a new notion of edgebased flow in the material on flow networks. Many new exercises and problems have been added in this edition. The text is intended primarily for students studying algorithms or data structures. As it discusses engineering issues in algorithm design, as well as mathematical aspects, it is equally well suited for selfstudy by technical professionals.
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Thomas H. Cormen received bachelor’s degree in Electrical Engineering from the Princeton University way back in 1978. Thereafter, he did his master’s in Electrical Engineering and Computer Science from the MIT. Among the students, he is best known for having co-authored a book titled 'Introduction to Algorithms'. In the year 2013, he published another book titled 'Algorithms Unlocked'. This book too has been received well.
Charles E. Leiserson is Professor of Computer Science and Engineering at MIT. Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. Clifford Stein is Professor of Industrial Engineering and Operations Research at Columbia University.
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