Introduction to Search Algorithms

Search algorithms aim to find solution or data with specific properties from a massive set of data. This book is packed with practical explanations of the search algorithms used in various computer systems. The book mainly targets wide group range of researches and master students. The book deals rather with the search algorithms applications than the search algorithms itself. Introduction to Search Algorithms considers various aspects of search algorithms including an extensive overview of search algorithms and related terms. It includes introduction and the fundamentals of search algorithms, fundamentals of linear search algorithm, introduction to a\* based best-first search algorithms. Provides the reader with insights into the development of its history, so as to understand the running particle swarm optimization on graphics processing, search via quantum walk. Cover......Page 1 Half Title Page......Page 3 Full Title Page......Page 5 Copyright Page......Page 6 About the Author......Page 7 Table of Contents......Page 9 List of Figures......Page 13 List of Tables......Page 17 Preface......Page 19 Chapter 1 Fundamentals of Search Algorithms......Page 21 1.1. Introduction......Page 22 1.2. Unordered Linear Search......Page 23 1.3. Ordered Linear Search......Page 24 1.4. Chunk Search......Page 25 1.5. Binary Search......Page 27 1.6. Searching in Graphs......Page 28 1.7. Graph Grep......Page 33 1.8. Searching in Trees......Page 35 1.9. Searching in Temporal Probabilistic Object Data Model......Page 38 References......Page 40 Chapter 2 Fundamentals of Linear Search Algorithm......Page 55 2.1. Introduction......Page 56 2.2. Theory of The Linear Search Algorithm......Page 58 2.3. Modified Linear Search Technique With One Middle Component......Page 59 2.4. Modified Linear Search Technique With Two Middle Components......Page 61 2.6. Proof of Accuracy for Two-Way Linear Search......Page 65 2.7. Analysis And Comparison of Performance......Page 66 References......Page 68 Chapter 3 Introduction To A* Based Best-First Search Algorithms......Page 75 3.2. Best-First Heuristic Search: A*......Page 76 3.3. Classes......Page 77 3.4. A* Algorithm: An Overview......Page 85 References......Page 87 Chapter 4 A Fast Search Algorithm For A Large Fuzzy Database......Page 97 4.1. Introduction......Page 98 4.2. Previous Work on Fast Search Algorithms......Page 100 4.3. Algorithms......Page 103 4.4. Theoretical Results of Algorithms......Page 110 4.5. Experiment Results of Algorithms......Page 111 4.6. Comparison of Results......Page 116 References......Page 120 Chapter 5 Real-Time Heuristic Search Algorithms For Video Games’ Pathfinding......Page 133 5.1. Introduction......Page 134 5.2. Problem Formulation......Page 136 5.3. The Core Algorithms......Page 138 5.4. k Nearest Neighbors LRTA* (kNN LRTA*)......Page 141 5.5. Time-Bounded A* (TBA*)......Page 150 References......Page 158 Chapter 6 Real-Time Iterative-Deepening Best-First Search (RIBS)......Page 173 6.1. Introduction......Page 174 6.2. RIBS: Intuition......Page 176 6.3. Properties of RIBS......Page 179 6.4. Empirical Evaluation of RIBS In Heuristic Depressions......Page 180 References......Page 183 Chapter 7 Running Particle Swarm Optimization On Graphics Processing Units......Page 189 7.1. Introduction......Page 190 7.2. Particle Swarm Optimization......Page 191 7.3. Our GPU-Based Particle Swarm Optimization Proposals......Page 198 7.4. Experimental Approaches For Algorithms......Page 209 References......Page 216 Chapter 8 Search Via Quantum Walk......Page 227 8.1. Introduction......Page 228 8.2. Quantum Walk......Page 229 8.3. Search Algorithm Via Quantum Walk......Page 237 8.4. Physical Implementation of Quantum Walk Based Search......Page 239 8.5. Quantum Walk Based Search in Nature......Page 244 8.6. Biomimetic Application in Solar Energy......Page 247 References......Page 249 Index......Page 255

Introduction to Search Algorithms considers various aspects of search algorithms includingan extensive overview of search algorithms and related terms. It includes introductionand the fundamentals of search algorithms, fundamentals of linear searchalgorithm, introduction to a* based best-first search algorithms. The book provides thereader with insights into the development of its history, so as to understand the runningparticle swarm optimization on graphics processing, search via quantum walk.