[PDF] A Practical Introduction to Data Structures and Algorithm Analysis ( Java Version with Source code)

ISBN: 0136609112

Category: Tutorial


Posted on 2018-01-18, by luongquocchinh.

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Author: Clifford A. Shaffer | Publisher: e-book | Category: Algorithms | Language: English | Page: 620 | ISBN: 0136609112 |

Description: From the Preface: This book is intended as a teaching text. I believe it is more important for a practitioner to understand the principles required to select or design the data structure that will best solve some problem than it is to memorize a lot of textbook implementations. Hence, I have designed this as a teaching text that covers most standard data structures, but not all. A few data structures that are not widely adopted are included to illustrate important principles. Some relatively new data structures that should become widely used in the future are included. Within an undergraduate program, this textbook is designed for use in either an advanced lower division (sophomore or junior level) data structures course, or for a senior level algorithms course. New material has been added in the third edition to support its use in an algorithms course. Normally, this text would be used in a course beyond the standard freshman level "CS2" course that often serves as the initial introduction to data structures. Readers of this book should have programming experience, typically two semesters or the equivalent of a structured programming language such as Pascal or C, and including at least some exposure to Java. Readers who are already familiar with recursion will have an advantage. Students of data structures will also benefit from having first completed a good course in Discrete Mathematics. Contents Preface I Preliminaries 1 Data Structures and Algorithms 2 Mathematical Preliminaries 3 Algorithm Analysis II Fundamental Data Structures 4 Lists, Stacks, and Queues 5 Binary Trees 6 Non-Binary Trees III Sorting and Searching 7 Internal Sorting 8 File Processing and External Sorting 9 Searching 10 Indexing IV Advanced Data Structures 11 Graphs 12 Lists and Arrays Revisited 13 Advanced Tree Structures V Theory of Algorithms 14 Analysis Techniques 15 Lower Bounds 16 Patterns of Algorithms 17 Limits to Computation Bibliography Index

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