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Acta Numerica 2021: Volume 30: Acta Numerica, cartea 30

Editat de Arieh Iserles, Douglas Arnold
en Limba Engleză Hardback – 6 oct 2021
Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.
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Specificații

ISBN-13: 9781009098977
ISBN-10: 1009098977
Pagini: 864
Dimensiuni: 181 x 254 x 37 mm
Greutate: 1.63 kg
Ediția:Nouă
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Acta Numerica

Locul publicării:Cambridge, United Kingdom

Cuprins

1. Numerical homogenization beyond scale separation Robert Altmann, Patrick Henning and Daniel Peterseim; 2. Deep learning: a statistical viewpoint Peter L. Bartlett, Andrea Montanari and Alexander Rakhlin; 3. Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation Mikhail Belkin; 4. Optimal transportation, modelling and numerical simulation Jean-David Benamou; 5. Neural network approximation Ronald DeVore, Boris Hanin and Guergana Petrova; 6. Learning physics-based models from data: perspectives from inverse problems and model reduction Omar Ghattas and Karen Willcox; 7. Tensors in computations Lek-Heng Lim; 8. Modelling and computation of liquid crystals Wei Wang, Lei Zhang and Pingwen Zhang.

Descriere

The highest rated journal available as a book. Contains state-of-the-art overviews of numerical mathematics and scientific computing.