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Data Structures and Algorithms in Java
 
 

Data Structures and Algorithms in Java [Hardcover]

Adam Drozdek (Author)
4.7 out of 5 stars  See all reviews (6 customer reviews)


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Hardcover, July 26, 2000 --  
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Data Structures and Algorithms in Java, Second Edition Data Structures and Algorithms in Java, Second Edition 4.7 out of 5 stars (6)
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Book Description

0534376681 978-0534376680 July 26, 2000 1
Building on the widespread use of the Java programming language in industry and education, this book provides a broad-based and case-driven study of data structures -- and the algorithms associated with them -- using Java as the language of implementation.


Editorial Reviews

About the Author

Adam Drozdek is Associate Professor of Computer Science at Duquesne University.

Product Details

  • Hardcover: 640 pages
  • Publisher: Course Technology; 1 edition (July 26, 2000)
  • Language: English
  • ISBN-10: 0534376681
  • ISBN-13: 978-0534376680
  • Product Dimensions: 9.6 x 7.6 x 1.1 inches
  • Shipping Weight: 2.6 pounds
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,945,393 in Books (See Top 100 in Books)

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Customer Reviews

6 Reviews
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Average Customer Review
4.7 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

25 of 25 people found the following review helpful:
4.0 out of 5 stars Excellent book for data structures using java, October 4, 2000
This review is from: Data Structures and Algorithms in Java (Hardcover)
I was looking for a latest edition of a book on data structures using Java. Lafore, Martin etc. are good texts but since collection API has introduced in jdk 1.2, those books seems to be obsolete. This book discusses new API and classes provided by java environment, so we need not to be bogged down by writing the unnecessary code. I feel this book is good for professionals in the industry as well as students of computer science. Algorithms are dealt with in detail with all the mathematical proofs involved, regarding efficiency and complexity. Various data structures are discussed with sufficient number of examples. Its a language specific book on data structures and algorithms, so if you are looking for a general book ar if you are working with any other language you will be dissappointed but surely a good book for java programming language.
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2 of 2 people found the following review helpful:
5.0 out of 5 stars java for the computer scientist, January 16, 2011
Most texts on Java Collections describe data structures and their performance without delving into the internals- this author has done a great job in that sense. This book may not be for folks concerned largely with churning out vanilla code. However, for those interested in learning the language from a computing science standpoint, this is your book.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars Decent reference book, October 3, 2011
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Got it for my algorithms class. I'm not the best student so don't take my word for this to the letter. I actually find this book very informative. Helps me a lot to keep up in class. Now I can ask questions that doesn't make me look like an idiot. But to be honest I can't sit down and read the book for an hour. It's a tad bit on the boring side. still good book regardless
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Inside This Book (learn more)
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Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiway trees, string matching, hamiltonian graphs, perfect hash functions, suffix phase, positions following pos, binary buddy system, void inorder, mismatched character, equality subgraph, cuckoo hashing, coalesced hashing, circular singly, two reference fields, suffix trie, buddy method, crossover edges, empty linked list, reachable cells, minimal perfect hash function, network with source, quadratic probing, perfectly balanced tree, hash set, augmenting path
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Case Study, Binary Trees, New York, The Family of B-Trees, Memory Management, Data Compression, Object-Oriented Programming Using Java, Garbage Collection, Complexity Analysis, Method Operation, Efficient Sorting Algorithms, Computing Surveys, Information Processing Letters, Prentice Hall, Journal of Algorithms, Graph Theory, Computer Journal, Boston System, Englewood Cliffs, Database Systems, Upper Saddle River, Java Virtual Machine, Bank One, Huffman Coding, Adding Polynomials
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