| Description |
1 online resource (735 pages) |
| Summary |
Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You'll discover cutting-edge approaches to a variety of tricky scenarios. You'll even learn to design your own data structures for projects that require a custom solution. |
| Contents |
1 Introducing data structures -- Part 1. Improving over basic data structures -- 2 Improving priority queues: d-way heaps -- 3 Treaps: Using randomization to balance binary search trees -- 4 Bloom filters: Reducing the memory for tracking content -- 5 Disjoint sets: Sub-linear time processing -- 6 Trie, radix trie: Efficient string search -- 7 Use case: LRU cache -- Part 2. Multidimensional queries -- 8 Nearest neighbors search -- 9 K-d trees: Multidimensional data indexing -- 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval -- 11 Applications of nearest neighbor search -- 12 Clustering -- 13 Parallel clustering: MapReduce and canopy clustering -- Part 3. Planar graphs and minimum crossing number -- 14 An introduction to graphs: Finding paths of minimum distance -- 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections -- 16 Gradient descent: Optimization problems (not just) on graphs -- 17 Simulated annealing: Optimization beyond local minima -- 18 Genetic algorithms: Biologically inspired, fast-converging optimization -- Appendix A. A quick guide to pseudo-code -- Appendix B. Big-O notation -- Appendix C. Core data structures -- Appendix D. Containers as priority queues -- Appendix E. Recursion -- Appendix F. Classification problems and randomnized algorithm metrics -- Index. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Computer algorithms.
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Algorithms |
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Algorithmes. |
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algorithms. |
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Computer algorithms |
| Other Form: |
Print version: La Rocca, Marcello. Advanced Algorithms and Data Structures. New York : Manning Publications Co. LLC, ©2021 9781617295485 |
| ISBN |
1638350221 (electronic book) |
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9781638350224 (electronic bk.) |
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9781617295485 (electronic bk.) |
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1617295485 (electronic bk.) |
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