000 | 04192cam a2200541Mu 4500 | ||
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001 | on1085230374 | ||
003 | OCoLC | ||
005 | 20241121072732.0 | ||
006 | m d | ||
007 | cr |n|---||||| | ||
008 | 190209s2019 xx o 000 0 eng d | ||
040 |
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019 | _a1084506522 | ||
020 | _a1773616188 | ||
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_a9781773616186 _q(electronic bk.) |
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035 |
_a2013913 _b(N$T) |
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035 |
_a(OCoLC)1085230374 _z(OCoLC)1084506522 |
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050 | 4 | _aQA76.9.A43 | |
082 | 0 | 4 |
_a005.1 _223 |
049 | _aMAIN | ||
100 | 1 |
_aPorbasas Flejoles, Rex. _910886 |
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245 | 1 | 0 | _aIntroduction to Search Algorithms |
260 |
_aAshland : _bArcler Press, _c2019. |
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300 | _a1 online resource (258 pages) | ||
336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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588 | 0 | _aPrint version record. | |
505 | 0 | _aCover; Half Title Page; Full Title Page; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Fundamentals of Search Algorithms; 1.1. Introduction; 1.2. Unordered Linear Search; 1.3. Ordered Linear Search; 1.4. Chunk Search; 1.5. Binary Search; 1.6. Searching in Graphs; 1.7. Graph Grep; 1.8. Searching in Trees; 1.9. Searching in Temporal Probabilistic Object Data Model; References; Chapter 2 Fundamentals of Linear Search Algorithm; 2.1. Introduction; 2.2. Theory of The Linear Search Algorithm | |
505 | 8 | _a2.3. Modified Linear Search Technique With One Middle Component2.4. Modified Linear Search Technique With Two Middle Components; 2.5. Two-Way Linear Search; 2.6. Proof of Accuracy for Two-Way Linear Search; 2.7. Analysis And Comparison of Performance; References; Chapter 3 Introduction To A* Based Best-First Search Algorithms; 3.1. Introduction; 3.2. Best-First Heuristic Search: A*; 3.3. Classes; 3.4. A* Algorithm: An Overview; References; Chapter 4 A Fast Search Algorithm For A Large Fuzzy Database; 4.1. Introduction; 4.2. Previous Work on Fast Search Algorithms; 4.3. Algorithms | |
505 | 8 | _a4.4. Theoretical Results of Algorithms4.5. Experiment Results of Algorithms; 4.6. Comparison of Results; References; Chapter 5 Real-Time Heuristic Search Algorithms For Video Games' Pathfinding; 5.1. Introduction; 5.2. Problem Formulation; 5.3. The Core Algorithms; 5.4. k Nearest Neighbors LRTA* (kNN LRTA*); 5.5. Time-Bounded A* (TBA*); References; Chapter 6 Real-Time Iterative-Deepening Best-First Search (RIBS); 6.1. Introduction; 6.2. RIBS: Intuition; 6.3. Properties of RIBS; 6.4. Empirical Evaluation of RIBS In Heuristic Depressions; References | |
505 | 8 | _aChapter 7 Running Particle Swarm Optimization On Graphics Processing Units7.1. Introduction; 7.2. Particle Swarm Optimization; 7.3. Our GPU-Based Particle Swarm Optimization Proposals; 7.4. Experimental Approaches For Algorithms; References; Chapter 8 Search Via Quantum Walk; 8.1. Introduction; 8.2. Quantum Walk; 8.3. Search Algorithm Via Quantum Walk; 8.4. Physical Implementation of Quantum Walk Based Search; 8.5. Quantum Walk Based Search in Nature; 8.6. Biomimetic Application in Solar Energy; References; Index | |
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650 | 0 |
_aComputer algorithms. _93335 |
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