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A Practical Introduction to Data Structures and Algorithm ...
A Practical Introduction toData Structures and AlgorithmAnalysisThird Edition (Java)Clifford A. ShafferDepartment of Computer ScienceVirginia TechBlacksburg, VA 24061 April 16, 2009 Copyrightc 2008 by Clifford A. document is the draft of a book to be published by Prentice Halland may not be duplicated without the express written consentof either the author or a representative of the Preliminaries11 Data Structures and A Philosophy of Data The Need for Data Costs and Abstract Data Types and Data Design Problems, Algorithms, and Further Exercises212 Mathematical Sets and Miscellaneous Summations and Mathematical Proof Direct Proof by Proof by Mathematical Further Exercises503 Algorithm Best, Worst, and Average A Faster Computer, or a Faster Algorithm ? Asymptotic Upper Lower Simplifying Classifying Calculating the Running Time for a Analyzing Common Multiple Space Speeding Up Your Empirical Further Projects95II Fundamental Data Structures974 Lists, Stacks, and Array-Based List Linked Comparison of List Element Doubly Linked Array-Based Linked Comparison of Array-Based and Linked Implementing Array-Based Linked Comparison of Array-Based and Linked Dictiona
Apr 16, 2009 · Approach: This book describes many techniques for representing data. These techniques are presented within the context of the following principles: 1. Each data structure and each algorithm has costs and benefits. Practitioners need a thorough understanding of how to assess costs and benefits to be able to adapt to new design challenges.
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