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Acta Numerica, Volume 30

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Volume 30, May 2021

Research Article

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  - journals/actanum/AltmannHP21
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  - https://dblp.org/rec/journals/actanum/AltmannHP21
Robert Altmann, Patrick Henning, Daniel Peterseim:
Numerical homogenization beyond scale separation. 1-86
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  - journals/actanum/BartlettMR21
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Peter L. Bartlett, Andrea Montanari, Alexander Rakhlin:
Deep learning: a statistical viewpoint. 87-201
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  - journals/actanum/Belkin21
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Mikhail Belkin:
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation. 203-248
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  - journals/actanum/Benamou21
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Jean-David Benamou:
Optimal transportation, modelling and numerical simulation. 249-325
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  - journals/actanum/DeVoreHP21
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Ronald A. DeVore, Boris Hanin, Guergana Petrova:
Neural network approximation. 327-444
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  - journals/actanum/GhattasW21
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Omar Ghattas, Karen Willcox:
Learning physics-based models from data: perspectives from inverse problems and model reduction. 445-554
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  - journals/actanum/Lim21
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Lek-Heng Lim:
Tensors in computations. 555-764
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  - journals/actanum/WangZZ21
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Wei Wang, Lei Zhang, Pingwen Zhang:
Modelling and computation of liquid crystals. 765-851

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