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| 020 | _a9789811663505 | ||
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_a10.1007/978-981-16-6350-5 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA166.245 _b2022 EB |
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| 100 | 1 |
_aKloks, Ton _eautor _9683353 |
|
| 245 | 1 | 2 |
_aA Guide to Graph Algorithms _cby Ton Kloks, Mingyu Xiao |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publising _c2022 |
|
| 300 |
_a1 recurso en línea (XV, 340 páginas) _b1 ilustraciones |
||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
||
| 505 | 0 | _aChapter 1. Graphs -- Chapter 2. Algorithms -- Chapter 3. Problem Formulations -- Chapter 4. Recent Trends. | |
| 520 | _aThis book A Guide to Graph Algorithms offers high-quality content in the research area of graph algorithms and explores the latest developments in graph algorithmics. The reader will gain a comprehensive understanding of how to use algorithms to explore graphs. It is a collection of texts that have proved to be trend setters and good examples of that. The book aims at providing the reader with a deep understanding of the structural properties of graphs that are useful for the design of efficient algorithms. These algorithms have applications in finite state machine modelling, social network theory, biology, and mathematics. The book contains many exercises, some up at present-day research-level. The exercises encourage the reader to discover new techniques by putting things in a clear perspective. A study of this book will provide the reader with many powerful tools to model and tackle problems in real-world scenarios. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9141162 _aAlgoritmos |
|
| 700 | 1 |
_aXiao, Mingyu _eautor _0(orcid)0000-0002-1012-2373 _1https://orcid.org/0000-0002-1012-2373 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811663499 |
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_iPrinted edition: _z9789811663512 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6350-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b04/2022 _dz _eu _zSI |
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