arXiv · 2203.10011
Rate-optimal sparse approximation of compact break-of-scale embeddings
Abstract
The paper is concerned with the sparse approximation of functions having hybrid regularity borrowed from the theory of solutions to electronic Schrödinger equations due to Yserentant [43]. We use hyperbolic wavelets to introduce corresponding new spaces of Besov- and Triebel-Lizorkin-type to particularly cover the energy norm approximation of functions with dominating mixed smoothness. Explicit (non-)adaptive algorithms are derived that yield sharp dimension-independent rates of convergence.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Glenn Byrenheid, Janina Hübner, Markus Weimar. 2022-03-18. Rate-optimal sparse approximation of compact break-of-scale embeddings. https://arxiv.org/abs/2203.10011
Cite the original work for its findings. Save a collection to share your selection of sources.