Experimental algorithmics : from algorithm design to robust and efficient software
Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances. Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the...
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| Andre forfattere: | , |
| Format: | Livre numérique |
| Sprog: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serier: | Lecture notes in computer science
2547 |
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Actes d'un séminaire tenu en septembre 2000, d'après la préface Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Experimental algorithmics, from algorithm design to robust and efficient software, Rudolf Fleischer, Bernard Moret, Erik Meineche Schmidt (eds.), Berlin, Springer, 2002, 1 vol. (XVII-278 p.), Lecture notes in computer science, 3-540-00346-0 • Experimental Algorithmics, Texte imprimé, 9783662177303 |
| Summary: | Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances. Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the process of developing robust and efficient software for applications. Based on a seminar held at Dagstuhl Castle, Germany in September 2000, this state-of-the-art survey presents a coherent survey of the work done in the area so far. The 11 carefully reviewed chapters provide complete coverage of all current topics in experimental algorithmics. |
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| Emne beskrivelse: | Actes d'un séminaire tenu en septembre 2000, d'après la préface Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540363835 (PDF) |
| ISSN: | 1611-3349 |
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