Algorithms and data structures lie at the heart of computer science, and are essential tools for every practising programmer. This book provides an in-depth treatment of the central algorithms and data structures of computer science, together with an introduction to the techniques of design, correctness and analysis required for understanding them. Beginning with coverage of techniques followed by the major application areas of lists, trees, symbol tables, priority queues, sorting, disjoint sets, and graph algorithms. The theory is then completed with a closing chapter on lower bounds.
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Book Description
Editorial Reviews
From the Back Cover
Features:
Consistent use of state-of-the-art techniques throughout, including object-oriented programming
Topics have been carefully selected to ensure that they are of real practical importance and presented in a logical sequence
Complete and carefully tested Eiffel implementations with many attractive examples, diagrams and exercises
0201360624B04062001
About the Author
Jeffrey H. Kingston is a senior lecturer in the Basser Department of Computer Science at the University of Sydney, Australia. He has published correctness proofs and analyses of a variety of data structures ans algorithms; his other research interests include document formatting, computerized timetable construction and computer science curriculum design.
0201360624AB04062001
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2 of 9 people found the following review helpful:
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This review is from: Algorithms and Data Structures: Design, Correctness, Analysis (2nd Edition) (Paperback)
If you are a computer science student or advance programmer, you should get this book. The diagrams and descriptions in the book give you insights of the advance programming which would help you. However you may get confused because the examples in the book is using the programming language Eiffel. You would like this book if and only if you like hard coding.
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