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  SPECIFICATION
COMPUTER ALGORITHMS: INTRODUCTION TO DESIGN & ANALYSIS 3e(pb
Author: BAASE
ISBN: 9788131702444
Year: 2013
Publisher: PEARSON EDUCATION ASIA
Category: NUMERICAL METHODS / DISCREATE MATHEMATICS
Edition: 3
Format: Paperback
Language: English
Pages: 688
 ABOUT THE TITLE
Drawing upon combined decades experience Professors Sara Baasse and Allen Van Gelder have extensively revised this best seller on algorithm design and analysis to make it the most current and accessible book available. This edition features an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms along with the addition of new topics and exercises. It continues the tradition of solid mathematical analysis and clear writing style that made this book so popular in previous editions.
• Emphasizes the development of algorithms through a step-by-step process rather than by merely presenting the end result
• Stresses the importance of the algorithm analysis process—continuously re-evaluating modifying and perhaps rejecting algorithms until a satisfactory solution is attained
• Provides extensive treatment of recursion with a clear student-friendly review of how it works and why it is a valuable programming technique
• Uses a Java-like pseudo code; includes an appendix with Java examples
• NEW - Material on accelerated version of Heapsort section on computing with DNA chapter on Dynamic Sets. Pg.___
• NEW - Expanded treatment of recursion with a clear student-friendly review of how it works and why it is a valuable programming technique. Pg.___
• NEW - Expanded mathematical background emphasizes practical techniques including solutions to recurrence equations. Pg.___
• NEW - Review of abstract data types with Java class definitions for several commonly used ADTs such as list tree stack and priority queue. Pg.___
• NEW - Pseudocode updated from Pascal-like to Java-like; includes an appendix with Java examples. Pg.___
• More than 100 new exercises. Pg.___
Author:
Sara Baase and Allen Van Gelder
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 TABLE OF CONTENTS
Analyzing Algorithms and Problems: Principles and Examples
Data Abstraction and Basic Data Structures
Recursion and Induction
Sorting
Selection and Adversary Arguments
Dynamic Sets and Searching
Graphs and Graph Traversals
Graph Optimization Problems and Greedy Algorithms
Transitive Closure, All-Pairs Shortest Paths
Dynamic Programming
String Matching
Polynomials and Matrices
NP-Complete Problems
Parallel Algorithms
Java Examples and Techniques
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