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"In light of the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. This beautifully written, thoughtfully organized book is the definitive introductory book on the design and analysis of algorithms. The first half offers an effective method to teach and study algorithms; the second half then engages more advanced readers and curious students with compelling material on both the possibilities and the challenges in this fascinating field." --Shang-Hua Teng, University of Southern California "Introduction to Algorithms, the 'bible' of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number theory. The revised third edition notably adds a chapter on van Emde Boas trees, one of the most useful data structures, and on multithreaded algorithms, a topic of increasing importance." --Daniel Spielman, Department of Computer Science, Yale University "As an educator and researcher in the field of algorithms for over two decades, I can unequivocally say that the Cormen book is the best textbook that I have ever seen on this subject. It offers an incisive, encyclopedic, and modern treatment of algorithms, and our department will continue to use it for teaching at both the graduate and undergraduate levels, as well as a reliable research reference." --Gabriel Robins, Department of Computer Science, University of Virginia
Product Description
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.
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6 of 7 people found the following review helpful:
5.0 out of 5 stars
De facto text book for Algorithms,
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This review is from: Introduction to Algorithms (Paperback)
De facto text book for AlgorithmsWho need this book Programmer who want to optimize their algorithms or just want to brush up different algorithms which they use in their day to day programming. Student who are learning Computer science at university, this book is must have for them. Book is divided in following main sections 1.Foundations This section has 5 chapters and gives the basic idea about the algorithms and how to solve a problem using an algorithm and different approach about the algorithms. Explain about the notation of algorithms and how to write a one. Explain how to calculate the complexity of algorithms and along with the different notations such as big o etc. 2.Sorting and Order Statistics This section is devoted to different sorting algorithms such as quick and heap etc, there are 4 chapters in total. 3.Data Structures This section gives basic idea about the data structure before advance section; this section includes stack, link list, queue, hash table etc. There are 5 chapters in total for basic data structures. 4.Advanced design and analysis technique This section has 3 chapters and explains dynamic programming, greedy algorithms and amortized analysis. 5.Advance Data Structures This section explains about B tree, Fibonacci heap, van Emde Boas tree and disjoint set. 6.Graph algorithms This section explains about different graph algorithms such dijkstra and shortest path algorithms etc. 7.Selected topics this section has some different topics such as multithreaded algorithms, matrix operation , string matching and pattern matching etc. Point about book. Book is well written and very concise. Explain every algorithm in very details. Most of the algorithms are covered in book along with the calculating the complexity of algorithms. Doesn't follow any specific computer programming language syntax for algorithms so it's easy to follow for non-programmer. Every chapters has some problem set at the end of the chapter and in between (answers are not provided in book but some solutions are there on book's website.) There are lots of diagram in book for better explanation. Most advance topics, those are not suitable for under graduate are marked with Star. Book required some basic engineering mathematical understanding.
5.0 out of 5 stars
From a newbie,
This review is from: Introduction to Algorithms (Hardcover)
I work like software professional and I think you need to know how things works in essence although you never have to program an algorithm in your day-to-day job. I love puzzles and challenge and this book is a good point to start to know algorithms. Next step: Art of computing programming by Donald E. Knuth.
13 of 20 people found the following review helpful:
5.0 out of 5 stars
The Bible of Algorithms,
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This review is from: Introduction to Algorithms (Paperback)
This book is brilliant. I bought this to read from cover to cover, so that I could get a 'head-start' before going to university on a Computer Science course. This is perfect as it contains everything you need and more! In addition the book is great as a reference book - if you forgot about Van Emde Boas Trees then you can remind yourself by reading the appropriate chapter. A Must Have For Every Computer Scientist.
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