Acta Numerica 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.
- The latest issue of the leading review in mathematics as measured by Impact factor
- Outstanding contributors provide state-of-art surveys in important topics of contemporary interest
- Covers a broad range of fields from data-driven science, to engineering, to computational physics
Product details
December 2021Hardback
9781009098977
864 pages
254 × 181 × 37 mm
1.67kg
Available
Table of Contents
- 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.