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.
Authors
- Maxim Aleksandrovich Valov (ORCID: https://orcid.org/0009-0005-5592-7158)
Institutions
- Lomonosov Moscow State University (RU)
- Moscow Center For Continuous Mathematical Education (RU)
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