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The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical pro The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects. In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage. As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudocode to make the book easily accessible to students from all programming language backgrounds. Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning. ...Continua

Introduction to Algorithms, Second Edition

Ha scritto il 27/12/11

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

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.

...ContinuaIntroduction to Algorithms, Second Edition

Ha scritto il 07/07/11

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

"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.

- 1 mi piace

Introduction to Algorithms, Second Edition

Ha scritto il 18/06/08

This is a classic textbook of Algorithms which is a must-read for EECS major students. The book is written by MIT professors.

Introduction to Algorithms, Second Edition

Ha scritto il 27/11/07

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, on

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.

...ContinuaIntroduction to Algorithms, Second Edition

Ha scritto il 27/04/07

This was a textbook I used in college. I would've preferred the Sedgewick book.

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