Greedy approximation with regard to non-greedy bases
Copyright policy ) Vladimir N. Temlyakov; Mingrui Yang; Peixin Ye;
Greedy approximation with regard to non-greedy bases
The authors present the properties of basis which are important for certain direct and inverse theorems in nonlinear approximation. They study greedy approximation with regard to the basis with different properties. Some results known for unconditional bases are extended to the case of quasi-greedy bases.
- University of South Carolina United States
- Nankai University China (People's Republic of)
- University of South Carolina System United States
greedy algorithm, \(m\)-term approximation, greedy basis, quasi-greedy basis, Approximation by arbitrary nonlinear expressions; widths and entropy, Multidimensional problems, Rate of convergence, degree of approximation
greedy algorithm, \(m\)-term approximation, greedy basis, quasi-greedy basis, Approximation by arbitrary nonlinear expressions; widths and entropy, Multidimensional problems, Rate of convergence, degree of approximation
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 12
Top 10%
Top 10%
Average
Fields of Science
This action will publish the selected files and record in Zenodo. Are you sure you want to proceed?