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Introduction to Algorithms

By Ronald Rivest, Ronald L. Rivest, Charles E. Leiserson, Thomas H. Cormen

(140)

| Hardcover | 9780070131439

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Book Description

Written by top researchers, this text blends theory and practice. It covers the modern topics of parallel algorithms, concurrency and recurrency. A McGraw-Hill/MIT Press collaboration, the text is designed for both the instructor and the student. It offers a flexible organization with self-containedContinue

4 Reviews

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.

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Ivan Idris said on Dec 27, 2011 about the Others edition | Add your feedback

My personal library about Algorithms and Data Structures.

"Algorithms and Data Structures" is a huge field.
Lot of algorithms and data structures are used in nowadays computer software of variuos kinds. Not all data structures or algorithms on them are adequate for solving a particular problem, so you must have some skills to say which one is "better" than ... (continue)

"Algorithms and Data Structures" is a huge field.
Lot of algorithms and data structures are used in nowadays computer software of variuos kinds. Not all data structures or algorithms on them are adequate for solving a particular problem, so you must have some skills to say which one is "better" than another in your particular situation. Despite it's name, this book is an almost complete reference to achieve this skills. Sure, material presented here is not so easy and the book is not something you can read while watching MTV. Each chapter presents an argument in a very concise and formal way. Too much for some people, but this is not bad. Just skipping what you don't/want understand is the primary key to appreciate this book. When you will master the main concepts of the argument you are interested, it's a pleasure returning on those parts you have precedently skipped.
Parts about sorting and selections (heapsort, quicksort, linear sorting, etc.), common data structures (stacks and queues, hash tables, search binary trees, red-black trees), advanced data structures (B trees, binomial heaps, Fibonacci's heaps etc.) and algorithms on graphs (depth first traversal, minimum set cover, Kruskal and Prim's algorithms, Bellman-Ford's method, Dijkstra's algorithm) are well written and you can consider this parts as a reference for the future.
But this book as bad things too. The pseudocode, even if comprehensible, is not so much readable. In some cases it's too much dependent by the contest and this increase your understanding time. Chapters about math reference are not clear at all. Too much arguments without too much explanations, especially sections about algorithm's analisys. The last part of this book about complements and extensions could be easily dropped off from the book. Material presented here don't fit in an introductory text about algorithms and needs other knowledge a person who is reading this book obviously don't has.
A note on what that particular data structure is useful for would be very appreciated. Good book. Well spent money.

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Renato Perini said on Jul 7, 2011 | Add your feedback

This book is a very comprehensive approach to the basics of algorithmic studies. It is not necessary to finish every section of this book, but pick the earlier parts ( introductory ) and then choose some selected topics of one's interest. In time, one will discover this will be very critical to adva ... (continue)

This book is a very comprehensive approach to the basics of algorithmic studies. It is not necessary to finish every section of this book, but pick the earlier parts ( introductory ) and then choose some selected topics of one's interest. In time, one will discover this will be very critical to advance onto many other difficult topics.

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Lo哥 said on Nov 28, 2007 about the Paperback edition | Add your feedback