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Software developers new to Java will find the practical, software–engineering based approach taken by this book extremely refreshing. With an emphasis more on software design and less on theory, Java Collections explores in detail Java 2 collection classes, helping programmers choose the best collection classes for each application they work on. Watt and Brown explore abstract data types (ADTs) that turn up again and again in software design, using them to provide context for the data structures required for their implementation and the algorithms associated with the data structures. Numerous worked examples, several large case studies, and end–of–chapter exercises are also provided.
Algorithms are procedure for solving stated problems. Read the first page
Concordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
The language of any subject in the book is dressed up to the eyeballs with formal language which makes even simple statements appear complex and requiring lots of thought.
For example. "A string is a sequence of characters. The characters of a string have consecutive indicies." Now I know what a string it, it simply can be thought of as a sentence, it isn't difficult. But imagine you are someone who is approaching the subject with no priot knowledge, you would have to think hard about what the book is saying before you get it.
With other subjects in the book, like time complexity, a lot of assumptions are made about the readers knowledge, particularly in the mathematical field. If you don't know what the, "Fastest Growing Term" is, or the, "Constant Factor" you're stuck! Another example is on power algorithms. The books states, "It is easy to see that b to the power of 20 = b to the power of 10 + b to the power of 10." But is it easy? I certainly don't like things like this being assumed. If I think about it, it does make sense, but it isn't obvious.
Basically, as a student, this book wasn't really suitable for me or my fellow students.
Very frustrating.
and the fundamentals--which every computer science student should
know--haven't changed very much. However, it doesn't follow that
everyone needs to write their own linked lists or hash tables from
scratch, when Java already supplies so much of that. I have looked for
a textbook that balances explanation of the basics with exploration of
the Java Collections Interface, and this is by far the best book to date.
(The similarly-named book by Zukowski has too many errors of fact
in it for my taste.)
Another reviewer said that this book does not cover the Java Collections
API. This is incorrect. The authors develop the ideas behind each data
structure as a suitably abstract data type, and then go on with "...and
here's how the Java Collections API does it." I think the previous
reviewer simply didn't read far enough to get to those parts.
For a tutorial on just the Java Collections API, Sun's online "Trail" is
the best single source, and has the advantage that it is not intermixed
with implementation details. If that were enough, no data structures
textbook would be necessary. However, in real problems, any
predefined generic data structure is likely to be inadequate and will
need to be extended; this is why a good programmer needs to know
the Collections API (so as to avoid reinventing the wheel), but in
addition a good computer scientist needs to know how these data
structures are implemented, so that he/she can go beyond them when
necessary.
The book is somewhat weak on algorithms and would not serve as a
reference on this topic; however, there is plenty of meat here for a first
course on data structures and algorithms.
For the programmer out of college, or the college student that wants an alternate view on ADTs than what DSAAJ provides, this is an excellent book.
Member of the Columbia Java User Group (www.colajug.org)
HIGHLY RECOMMENDED!!!!!
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