Abstract
In the first part we have shown that, for -approximation of functions from a separable Hilbert space in the worst-case setting, linear algorithms based on function values are almost as powerful as arbitrary linear algorithms if the linear widths are square-summable. That is, they achieve the same polynomial rate of convergence. In this sequel, we prove a similar result for separable Banach spaces and other classes of functions.
| Original language | English |
|---|---|
| Article number | 101569 |
| Number of pages | 14 |
| Journal | Journal of Complexity |
| Issue number | 66, Paper No. 101569 |
| DOIs | |
| Publication status | Published - 2021 |
Fields of science
- 101002 Analysis
- 101032 Functional analysis
JKU Focus areas
- Digital Transformation