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Advanced Algorithms and Data Structures /
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 stru...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications,
[2021]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 001 | OR_on1261367005 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
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| 100 | 1 | |a La Rocca, Marcello. | |
| 245 | 1 | 0 | |a Advanced Algorithms and Data Structures / |c Marcello La Rocca. |
| 264 | 1 | |a Shelter Island, NY : |b Manning Publications, |c [2021] | |
| 300 | |a 1 online resource (735 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 588 | 0 | |a Online resource; title from digital title page (viewed on August 16, 2021). | |
| 520 | |a 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. | ||
| 505 | 0 | |a 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. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Computer algorithms. | |
| 650 | 2 | |a Algorithms | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Computer algorithms. |2 fast |0 (OCoLC)fst00872010 | |
| 776 | 0 | 8 | |i Print version: |a La Rocca, Marcello. |t Advanced Algorithms and Data Structures. |d New York : Manning Publications Co. LLC, ©2021 |z 9781617295485 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781617295485/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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