Skip to main content
Log in

Rate of Convergence of Pure Greedy Algorithms

  • Published:
Mathematical Notes Aims and scope Submit manuscript

Abstract

This paper is devoted to the study of the rate of convergence of pure greedy algorithms in Hilbert space. We obtain upper bounds for the rate of convergence of pure greedy algorithms for functions from the class A α, β(D).

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.

Similar content being viewed by others

REFERENCES

  1. L. K. Jones, "On a conjecture of Huber concerning the convergence of PP-regression," Ann. Statist., 15 (1987), 880–882.

    Google Scholar 

  2. R. A. DeVore and V. N. Temlyakov, "Some remarks on greedy algorithms," Adv. Comput. Math., 5 (1996), 173–187.

    Google Scholar 

  3. S. V. Konyagin and V. N. Temlyakov, "Rate of convergence of pure greedy algorithms," East J. Approx.,5 (1999), 493–499.

    Google Scholar 

  4. E. D. Livshitz and V. N. Temlyakov, "Two lower estimates in greedy approximation," Constructive Approximation, 19 (2003), 509–524.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Livshits, E.D. Rate of Convergence of Pure Greedy Algorithms. Mathematical Notes 76, 497–510 (2004). https://doi.org/10.1023/B:MATN.0000043480.05267.e7

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:MATN.0000043480.05267.e7

Navigation