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Probability Techniques in Analysis and Algorithms on Networks
November 24, 2025 13:05–13:40, Plenary talks, St. Petersburg, St. Petersburg State University, Department of Mathematics and Computer Science (14th Line of Vasilievsky Island, 29b), room 201
 


On the convergence conditions of a weak greedy algorithm

A. P. Solodov

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics

Abstract: This report is devoted to the convergence of a weak greedy algorithm, which is used to find an m-term approximation of an arbitrary element of a Hilbert space by elements of a normalized dictionary. V. N. Temlyakov and E. D. Livshits obtained convergence conditions for this algorithm depending on the behavior of the elements of the weakening sequence. We present new necessary and sufficient conditions for the convergence of a weak greedy algorithm, as well as a criterion for its convergence in the case of a quasi-monotone weakening sequence.

Language: English

* Zoom ID: 675-315-555, Password: mkn
 
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