Analysis And Design Of Algorithms
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Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book begins with a clear explanation of the basics: what algorithms are, their practical applications, asymptotic notation, and data structures. The second section covers the algorithmic design techniques of divide and conquer, greedy, dynamic programming, branch and bound, and graph traversal. For each of these techniques, the book presents templates and guidelines on when to use and not to use each technique. The third major section of the book covers NP-completeness and the inherent hardness of problems. Using the material provided in this book, students and professionals can master the processes to use in solving the most difficult algorithmic problems. Users can explore various techniques, and learn to decide which algorithm design technique to use for a given problem. Many sections contain innovative mnemonics to aid the readers in remembering the templates and key takeaways. Table of Contents......Page 4 Table of Figures......Page 10 Acknowledgements......Page 12 Preface......Page 13 Section I: The Basics......Page 16 Chapter 1: Introduction and Bare Essentials......Page 17 Chapter 2: Asymptotic Analysis and Notation......Page 23 Chapter 3: Data Structures......Page 29 Section II: Algorithm Design Techniques......Page 38 Chapter 4: Divide and Conquer......Page 39 Chapter 5: Greedy Method......Page 56 Chapter 6: Dynamic Programming......Page 68 Chapter 7: Graph Traversal Techniques......Page 84 Chapter 8: Branch and Bound......Page 94 Section III: Intrinsic Hardness of Problems......Page 99 Chapter 9: NP Completeness......Page 100 Chapter 10: Slaying the NP-Hardness Dragon......Page 113 Chapter 11: Theory of Lower Bounds......Page 119 Section IV: Conclusions and Auxiliary Materials......Page 127 Chapter 12: Wrapping Up......Page 128 Appendix A: How Do We Learn?......Page 131 Appendix B: More Graphs Theory Areas......Page 133 Appendix C: Minimum Spanning Tree......Page 135 Appendix D: Time Complexity of Union Find Data Structure......Page 137 Appendix E: Facility Location Problem......Page 139 Appendix F: String Matching......Page 141 Index......Page 143 Works Cited......Page 145
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