Stability of Weak Rescaled Pure Greedy Algorithms

Stability of Weak Rescaled Pure Greedy Algorithms

We study the stability of Weak Rescaled Pure Greedy Algorithms for convex optimization, WRPGA(co), in general Banach spaces. We obtain the convergence rates of WRPGA(co) with noise and errors under a weaker assumption for the modulus of smoothness of the objective function. The results show that the...

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Bibliographic Details
Main Authors: Wan Li, Man Lu, Peixin Ye, Wenhui Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Axioms
Subjects:
weak rescaled pure greedy algorithm
convex optimization
<i>m</i>-term approximation
convergence rate
stability
Online Access:https://www.mdpi.com/2075-1680/14/6/446
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