ACTA Numerica 2021: Volume 30

Herausgeber: Iserles, Arieh; Arnold, Douglas

• Gebundenes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 864
• Erscheinungstermin: 2. Dezember 2021
• Englisch
• Abmessung: 252mm x 179mm x 38mm
• Gewicht: 1660g
• ISBN-13: 9781009098977
• ISBN-10: 1009098977
• Artikelnr.: 62666516

Inhaltsangabe

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.