Skip to main content
Log in

A Criterion for Convergence of Weak Greedy Algorithms

  • Published:
Advances in Computational Mathematics Aims and scope Submit manuscript

Abstract

We find a class V of sequences such that the condition τ∉V is necessary and sufficient for convergence of weak greedy algorithm with weakness sequence τ for each f and all Hilbert spaces H and dictionaries D. We denote by V the class of sequences x={x k k=1 , x k ≥0, k=1,2,..., with the following property: there exists a sequence 0=q 0<q 1<⋅⋅⋅ such that ∑ s=1 2sq s )<∞ and ∑ s=1 2s k=1 q s x k 2<∞, where Δq s :=q s q s−1.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. L. Jones, On a conjecture of Huber concerning the convergence of projection pursuit regression, Ann. Statist. 15 (1987) 880-882.

    Google Scholar 

  2. E.D. Livshitz and V.N. Temlyakov, On convergence of Weak Greedy Algorithms, IMI-Preprint No. 13 (2000) 1-9.

  3. L. Rejtö and G.G. Walter, Remarks on projection pursuit regression and density estimation, Stochastic Anal. Appl. 10 (1992) 213-222.

    Google Scholar 

  4. V.N. Temlyakov, Weak Greedy Algorithms, Adv. Comput. Math. 12 (2000) 213-227.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Temlyakov, V. A Criterion for Convergence of Weak Greedy Algorithms. Advances in Computational Mathematics 17, 269–280 (2002). https://doi.org/10.1023/A:1016061804993

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1016061804993

Navigation