áru
(üres)
\nUnderstanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new...
tovább
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Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance.
\n leírás elrejtése- Kiadó: Cambridge University Press
- Kód:
- Kiadás éve: 2021
- Nyelv: Angol
- Kötés: Kemény táblás
- Oldalak száma: 704
- Csomag szélessége: 26 cm
- Csomag magassága: 18.5 cm
- Csomag mélysége: 4.4 cm
- Csomag súlya: 1.5 kg
Recenzió