Review paper
Optimal Stable Nonlinear Approximation
Abstract
While it is well known that nonlinear methods of approximation can often perform dramatically better than linear methods, there are still questions on how to measure the optimal performance possible for such methods. This paper studies nonlinear methods of approximation that are compatible with numerical implementation in that they are required to be numerically stable. A measure of optimal performance, called {\em stable manifold widths}, for...
Paper Details
Title
Optimal Stable Nonlinear Approximation
Published Date
Jan 1, 2022
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