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Data Structures and Algorithms (Englisch) Taschenbuch – 1982

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Taschenbuch, 1982
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Produktinformation

  • Taschenbuch: 427 Seiten
  • Verlag: Pearson; Auflage: 1st (1982)
  • Sprache: Englisch
  • ISBN-10: 8177588265
  • ISBN-13: 978-8177588262
  • Größe und/oder Gewicht: 22,6 x 15,2 x 1,8 cm
  • Durchschnittliche Kundenbewertung: 4.2 von 5 Sternen  Alle Rezensionen anzeigen (4 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 1.154.523 in Bücher (Siehe Top 100 in Bücher)

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Produktbeschreibungen

The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal. Contents same as US/UK editions.

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Die hilfreichsten Kundenrezensionen

2 von 2 Kunden fanden die folgende Rezension hilfreich Von Ein Kunde am 1. Juli 1999
Format: Taschenbuch
I was lucky enough to take a course in Data Structures and Algorithms with Prof. Aho and this was the text. Probably the best I have ever used. As friends and associates went through school they would invariably throw away the book they'd bought for their Data Structures course and buy a copy of this. Clear, concise, full of good code. A must
Kommentar War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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2 von 2 Kunden fanden die folgende Rezension hilfreich Von Carlo Cosenza am 2. März 2000
Format: Taschenbuch
From a students perspective this text has it all. Instead of relying on C/C++ to teach the concept of ADTs, this text uses a pseudocode based on Pascal. Consequently, all algorithms presented in this text are clear and easy to understand. Implementation of ADTs is thus facilitated by using the clear framework provided in this wonderful text.
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Von Ein Kunde am 2. Dezember 1998
Format: Taschenbuch
This book is very good but if you are looking for information on AVL trees and other advanced concepts in Data Structures look at Donanld Knuth. This book is not for beginners and is a very dense book.
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0 von 2 Kunden fanden die folgende Rezension hilfreich Von Ein Kunde am 29. Mai 1999
Format: Taschenbuch
The text covers the material on data structures, sometimes it is hard to understand. A super text on data structure logic is Data Structures A Pseudocode Approach with C. by Rich Gilberg
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 17 Rezensionen
61 von 63 Kunden fanden die folgende Rezension hilfreich
The best introduction to the field - a pleasure to read 10. Februar 2002
Von Optimistix - Veröffentlicht auf Amazon.com
Format: Taschenbuch
A textbook by Aho/Hopcroft/Ullman is sort of a guarantee of quality -
and this one is no exception. These people are among the greatest
researchers and teachers in Computer Science, and this book is a
great opportunity to 'learn from the masters'.
As an introduction to the fascinating field of Data Structures and
Algorithms, this is perhaps the best textbook you'll find out there.
Starting with the basics, the authors develop the concepts in a
natural manner. Array, lists and stacks soon give way to binary trees,
heaps and then more advanced data structures. All data structures are
introduced with proper motivation in terms of the kind of problems
that they are useful in solving.
The basic algorithms in searching, sorting, and graphs are then presented
in detail, followed by a chapter on algorithm analysis techniques, and
one on design paradigms such as dynamic programming, backtracking, divide
and conquer, greedy approach, and local search. The book ends with chapters
data structures and algorithms for external storage and memory management.
This is a textbook, and therefore you can expect a fair amount of maths
in the analysis of algorithms, without which you can only do hand-waving.
All algorithms are explained, with detailed examples and illustrations -
this is one of the easiest books to follow in theoretical computer science.
All algorithms are presented in pseudocode, which makes it easier to
understand things at an abtract level without getting bogged down in
language specific technical details, and the pseudocode is very clear
and concise, making it an easy task to adapt it to any given language.
An additional plus-point is its size - weighing in at less than 450
pages, this is a 'backpack friendly' book which you can easily carry
around, unlike many others on the subject.
The only caveat is that the book is almost 20 years old, so you won't
find the more recent topics like red-black trees, skip lists etc.
I'd suggest using this book for an introduction to the basics, with the
book by Cormen et al (if you want the maths) or Sedgewick (if you don't
want the maths) as excellent supplements as well as advanced references.
I must confess to having a weak spot for this book, since it introduced
me to algorithms and i fell in love with the subject. However, i think
most people who've read it would agree that it is a classic among Computer
Science textbooks which has stood the test of time.
26 von 26 Kunden fanden die folgende Rezension hilfreich
A classic text on programming 2. Oktober 2001
Von Ganapathy Subramaniam - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book stands out among countless books written on the subject.
It basically deals with the two ingrediants of programming ,
Data Structures and Algorithms.
The first part gives a wonderful introduction to the concept of Data Structures.It goes on to deal with several classes of Data Structures such as lists, stacks, queues, trees and graphs..
This book is profusely illustrated with examples, and lots of exercises for the student to expand upon the ideas.
The next part goes on to deal with Algorithms. Beginning with the concept, approaches, and different metrics that quantify algorithms such as time and space complexity. Common problems such as sorting , searching and the different algorithms are elaborated with the pros and cons.
One nice thing about the text is the way the subject is presented to the reader. Each topic begins with a few basic concepts and then extended in a natural manner to reach the complexity. This especially equips the student with the ability to continue evolving the solutions on their own. Not to mention the numerous exercises.
For example by studying the concept of abstract data types one would understand how OO programming evolves naturally.
I highly recommend this book for any one seriously interested in programming.
21 von 21 Kunden fanden die folgende Rezension hilfreich
Still the Best 2. März 2000
Von Carlo Cosenza - Veröffentlicht auf Amazon.com
Format: Taschenbuch
From a students perspective this text has it all. Instead of relying on C/C++ to teach the concept of ADTs, this text uses a pseudocode based on Pascal. Consequently, all algorithms presented in this text are clear and easy to understand. Implementation of ADTs is thus facilitated by using the clear framework provided in this wonderful text.
15 von 15 Kunden fanden die folgende Rezension hilfreich
The Best Intro To Data Structures and Algorithms 1. Juli 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I was lucky enough to take a course in Data Structures and Algorithms with Prof. Aho and this was the text. Probably the best I have ever used. As friends and associates went through school they would invariably throw away the book they'd bought for their Data Structures course and buy a copy of this. Clear, concise, full of good code. A must
9 von 9 Kunden fanden die folgende Rezension hilfreich
A JEWEL 15. Januar 2006
Von Master "Chief of Barter Town" Blaster - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Perfect book. Nice and small. You can buy it cheap too, it's old. But it's full of the meat and potatoes, no fluffy Java source code. Sure, it uses Pascal, but it's not that hard to understand Pascal code even if you never programmed in Pascal (me neither). What matters is the discussions behind the scenes. It covers the whole range of what you should know and it's concise. They don't write books like this anymore.
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