Introduction to Algorithms, third edition

Introduction to Algorithms, third edition
Author :
Publisher : MIT Press
Total Pages : 1313
Release :
ISBN-10 : 9780262258104
ISBN-13 : 0262258102
Rating : 4/5 (04 Downloads)

Book Synopsis Introduction to Algorithms, third edition by : Thomas H. Cormen

Download or read book Introduction to Algorithms, third edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2009-07-31 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction To Algorithms

Introduction To Algorithms
Author :
Publisher : MIT Press
Total Pages : 1216
Release :
ISBN-10 : 0262032937
ISBN-13 : 9780262032933
Rating : 4/5 (37 Downloads)

Book Synopsis Introduction To Algorithms by : Thomas H Cormen

Download or read book Introduction To Algorithms written by Thomas H Cormen and published by MIT Press. This book was released on 2001 with total page 1216 pages. Available in PDF, EPUB and Kindle. Book excerpt: An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

Introduction to Algorithms, fourth edition

Introduction to Algorithms, fourth edition
Author :
Publisher : MIT Press
Total Pages : 1313
Release :
ISBN-10 : 9780262046305
ISBN-13 : 026204630X
Rating : 4/5 (05 Downloads)

Book Synopsis Introduction to Algorithms, fourth edition by : Thomas H. Cormen

Download or read book Introduction to Algorithms, fourth edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2022-04-05 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.

Algorithms Unlocked

Algorithms Unlocked
Author :
Publisher : MIT Press
Total Pages : 237
Release :
ISBN-10 : 9780262313230
ISBN-13 : 0262313235
Rating : 4/5 (30 Downloads)

Book Synopsis Algorithms Unlocked by : Thomas H. Cormen

Download or read book Algorithms Unlocked written by Thomas H. Cormen and published by MIT Press. This book was released on 2013-03-01 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms. Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen—coauthor of the leading college textbook on the subject—provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order (“sorting”); how to solve basic problems that can be modeled in a computer with a mathematical structure called a “graph” (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.

Introduction To Design And Analysis Of Algorithms, 2/E

Introduction To Design And Analysis Of Algorithms, 2/E
Author :
Publisher : Pearson Education India
Total Pages : 548
Release :
ISBN-10 : 8131718379
ISBN-13 : 9788131718377
Rating : 4/5 (79 Downloads)

Book Synopsis Introduction To Design And Analysis Of Algorithms, 2/E by : Anany Levitin

Download or read book Introduction To Design And Analysis Of Algorithms, 2/E written by Anany Levitin and published by Pearson Education India. This book was released on 2008-09 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to the Design and Analysis of Algorithms

Introduction to the Design and Analysis of Algorithms
Author :
Publisher : Pearson Higher Ed
Total Pages : 590
Release :
ISBN-10 : 9781292014111
ISBN-13 : 1292014113
Rating : 4/5 (11 Downloads)

Book Synopsis Introduction to the Design and Analysis of Algorithms by : Anany Levitin

Download or read book Introduction to the Design and Analysis of Algorithms written by Anany Levitin and published by Pearson Higher Ed. This book was released on 2014-10-07 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasises the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

A Practical Introduction to Data Structures and Algorithm Analysis

A Practical Introduction to Data Structures and Algorithm Analysis
Author :
Publisher :
Total Pages : 536
Release :
ISBN-10 : UCSC:32106012552565
ISBN-13 :
Rating : 4/5 (65 Downloads)

Book Synopsis A Practical Introduction to Data Structures and Algorithm Analysis by : Clifford A. Shaffer

Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.