Conical Dual Greedy Algorithm in a Banach Space

A weak conical dual greedy algorithm is considered, which is a generalization of the conical greedy algorithm, applicable in Hilbert space, to a wider class of Banach spaces. This algorithm approximates an arbitrary element of the space by a combination of elements of a positive complete dictionary with nonnegative coefficients. The convergence of the algorithm and a bound for the rate of convergence for elements in the convex hull of the dictionary are proved.

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Publication Details

Journal
Mathematical Notes
Published
2025-04-01
DOI
https://doi.org/10.1134/s0001434625030186
Citations
2
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
3.01
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article

Conical Dual Greedy Algorithm in a Banach Space

Maxim Aleksandrovich Valov
2 citations
Mathematical Notes
Matrix Theory and Algorithms
3.01
article

Conical Dual Greedy Algorithm in a Banach Space

Maxim Aleksandrovich Valov
article en
2 citations

Abstract

A weak conical dual greedy algorithm is considered, which is a generalization of the conical greedy algorithm, applicable in Hilbert space, to a wider class of Banach spaces. This algorithm approximates an arbitrary element of the space by a combination of elements of a positive complete dictionary with nonnegative coefficients. The convergence of the algorithm and a bound for the rate of convergence for elements in the convex hull of the dictionary are proved.

Mathematical NotesVol. 117(3-4)
Lomonosov Moscow State University (RU), Moscow Center For Continuous Mathematical Education (RU)
Openalex Percentile: Top 8%
Matrix Theory and Algorithms
3.01
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