Introduction to Algorithms Hardback
by Thomas H. (Dartmouth College) Cormen, Charles E. (MIT) Leiserson, Ronald L. (MIT) Rivest, Clifford (Columbia University) Stein
Part of the Introduction to Algorithms series
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 new exercises and problems have been added for this edition.
As of the third edition, this textbook is published exclusively by the MIT Press.
- Format: Hardback
- Pages: 1312 pages, 235 b&w illus.
- Publisher: MIT Press Ltd
- Publication Date: 31/07/2009
- Category: Computing: general
- ISBN: 9780262033848
Showing 1 - 1 of 1 reviews.
Review by IvanIdris
This book is like an encyclopedia of algorithms. The algorithms are presented with pseudo code so it doesn’t matter what your favorite programming language is. A very rigorous mathematical approach is used for the analysis of for instance performance.