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Data Structures and Problem Solving Using Java (3rd Edition), by Mark Allen Weiss
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Data Structures and Problem Solving Using Java��3/e� provides a practical introduction to data structures from a viewpoint of abstract thinking and problem solving, and incorporates the enhancements of Java 5.0.� It includes coverage of generic programming, and content on the design of generic collection classes. This book is appropriate for readers who are familiar with basic Java programming concepts or are new to the language and want to learn how it treats data structures concepts.
- Sales Rank: #1226157 in Books
- Published on: 2005-02-24
- Original language: English
- Number of items: 1
- Dimensions: 9.22" h x 1.56" w x 7.74" l, 3.62 pounds
- Binding: Hardcover
- 960 pages
From the Back Cover
This book provides a practical introduction to data structures with an emphasis on abstract thinking and problem solving, as well as the use of Java. It does this through what remains a unique approach that clearly separates each data structure's interface (how to use a data structure) from its implementation (how to actually program that structure). Parts I (Tour of Java), II (Algorithms and Building Blocks), and III (Applications) lay the groundwork by discussing basic concepts and tools and providing some practical examples, while Part IV (Implementations) focuses on implementation of data structures. This forces the reader to think about the functionality of the data structuresbeforethe hash table is implemented.
Primitive Java; Reference Types; Objects and Classes; Inheritance; Algorithm Analysis; The Collections API; Recursion; Sorting Algorithms; Randomization; Applications-Games, Stacks and Compilers, Utilities, Simulation, Graphs and Paths; Inner Classes and Implementation of ArrayList Stacks and Queues; Linked Lists; Trees; Binary Search Trees; Hash Tables; A Priority Queue: The Binary Heap; Advanced Data Structures-Splay Trees, Merging Priority Queues, The Disjoint Set Class
A useful guide for Java programmers that includes lots of sample code and basic theory.
About the Author
Mark Allen Weiss is a Professor in the School of Computing and Information Sciences at Florida International University in Miami Florida. He received his Bachelor's Degree in Electrical Engineering from The Cooper Union in 1983, and his Ph.D. in Computer Science from Princeton University in 1987, working under Bob Sedgewick. He has been at FIU since 1987, and was promoted to Professor in 1996. His interests include data structures, algorithms, and education, and he is most well-known for his highly-acclaimed Data Structures textbooks, which have been used at hundreds of universities worldwide.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Great product!
By Andy Yang
Great product!
15 of 15 people found the following review helpful.
Good Code, Terrible Explanations
By A Customer
I am using this book in a class on Data Structures and Algorithms. This book has a lot of material and code in it which makes it good. However, his explanations are terrible. They are ambiguous and unclear. If you can teach yourself from the code, then this is a good book for you. If your looking for clear explanations, look somewhere else.
21 of 26 people found the following review helpful.
algorithms are primary, Java is secondary
By W Boudville
[A review of the THIRD EDITION 2005]
The book teaches two things. Algorithms that are very useful in computing. And how these can be coded in Java.
The explanation of the algorithms requires a reasonable amount of mathematical sophistication on your part. They all relate to discrete maths, and cover topics like sorting, random number generation and graphs. The complexity of the discussion is less than that in Knuth's "Art of Computer Programming". Perhaps more akin to Sedgewick or Aho's algorithms texts. There is a fair amount of abstraction that you'll have to deal with.
The other task in the book is explaining how Java is well suited in which to code these algorithms. Weiss also makes good use of the Java interface ability. If you think of an algorithm as being implemented in a subroutine [ie. a procedural approach], then the book uses interfaces to let you design a program at a higher level, and making it quite modular and independent of specific implementations of given algorithms.
The book does deal with Java 5. But perhaps the most important aspect of Java used in the book is the interface. So the book is quite germane even if you are using an earlier Java.
But what if you program in another language? Is the book relevant? Quite possibly. Firstly, some other languages, like C#, have interfaces. More importantly, if you regard the algorithms as the most important aspect of the book, and you are a skilled programmer, then coding is the easier aspect.
A remark to a lecturer: If you are teaching a course and are contemplating this book as its text, be careful. Try to ensure that the expected background of your class is compatible with the book. For example, if they will be experienced Java programmers, but have little maths knowledge (and this combination is certainly possible), then the book may not be very useful to them.
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