Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
Data Structures and Algorithms Addison-Wesley 0201000237

Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)

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Addison-Wesley

UPC:
978020100023

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Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr) Specs:
Product NameData Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
ManufacturerAddison-Wesley
Retail Price $62.00
EAN-1409780201000238
UPC978020100023
Specifications 
TitleData Structures and Algorithms, Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
ISBN0201000237
Author(s)Jeffrey D. Ullman, Alfred V. Aho, John E. Hopcroft
Release Date01 January, 1983, 1983-01-01
FormatHardcover
Num of Pages400
Num. of Items1
EAN9780201000238
Deal first added on:26-January-2004

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Reference Questions & Answers Computer Bks - Languages / Programming Programming - General Programming Languages - General Computer algorithms Algorithms (Computer Programming) Data structures (Computer scie data structures
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Latest 6 Reviews
Here is what people are saying about the Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
3 Star Rating  "Let's not get too excited"2008-03-26
- Reviewed By hzi49
Hyperbolic remarks about this book will mislead you into thinking that this book is absolutely unique, when it's not. The material here is standard and present on many, many algorithms and data structures book.

Furthermore, this book is dated, as it uses Pascal. It has very little relevance for today's world of collections of data structures made by experts (on Java, C#, Eiffel, Smalltlak, etc.) which are resources you need to know how to tap into to be more productive.

And as a last point, algorithm analysis is not the strong point of this book either, as it is just a late chapeter in the book and gets nowhere near advanced (i.e., real) algorithmic analysis (for which you will need higher math, such as calculus and probability).

Nevertheless, it's a good book but I don't know if you should buy it instead of that other, nice and new book using Java 5.0 using generics.
 
3 Star Rating  "An okay book!"2007-05-23
- Reviewed By User: A13LM63WUF77BL
It is just an okay book, not extraordinary in any way. Especially, this is certainly not for the novice in this topic, i.e., it is certainly not a good introductory book. So if you are new to data structures and algorithms, stay away from this book, go for some good introductory book.

For the advanced readers, it is an okay book. Better books are available, e.g., books by Cormen et al. and Robert Sedgewick.

The book is written in a way not very intersting or engaging. The algorithms are not explained in detail. Often things are left unexplained or assumed that the reader already knows it. Algorithms are presented in pseudocode, which causes problems especially for the readers familiar to some particular programming language.
 
4 Star Rating  "Excellent Book"2007-05-17
- Reviewed By slamouri
This book explains very clearly the subjects of data structures and algorithms. Its in-depth coverage is very intuitive and easy to follow unlike other literature that is often tedious or esoteric.
The only complaint I have is the choice of the programming language. Pascal is a language of the past. A new edition using C will make this book simply a gem.
 
5 Star Rating  "A JEWEL"2006-01-15
- Reviewed By User: A2PJNE112B53CI
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.
 
4 Star Rating  "A classic text book on Data Structures."2005-05-19
- Reviewed By User: A2ZIN7R4JR6A8I
I believe two books make a classic collection in data structures - one was the data structures book by sartaj sahni (his first edition book many years ago - I haven't looked at his recent books). That was the book I had to study when I was an undergrad student. Now I was entrusted with the task of teaching Data Structures and after looking at several books, this is the one I chose (may be because it comes most close to the style of teaching using psuedo-pascal that I grew up with).

I believe psuedo languages are the best way to learn concepts of any computer science area without getting bogged down in the nitty gritty of a language's syntax and semantics. I found the problems at the end of the chapters to be thoughtful and not extremely hard for undergraduate students. This book also goes into brief mathematical aspects of analysing the complexity of algorithms where necessary. The mathematical analysis is usually the part that most undergrad students moan and groan about, but they better get used to it IMO, if they wish to elevate themselves from the ranks of "a programmer" to an software / algorithm designer.

I have to agree that this book can be extremely hard for the weaker students in the class who have never had any programming or basic college algebra exposure. For all others, this book should be great.
 
5 Star Rating  "The best introduction to the field - a pleasure to read"2002-02-10
- Reviewed By optimistix
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.

 
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