Comparison of the convergence rate of pure greedy and orthogonal greedy algorithms

Autor:	Anton Dereventsov
Rok vydání:	2012
Předmět:	Combinatorics symbols.namesake Rate of convergence General Mathematics Weighted matroid Hilbert space symbols Greedy algorithm Greedy randomized adaptive search procedure Mathematics
Zdroj:	Mathematical Notes. 92:485-489
ISSN:	1573-8876 0001-4346
Popis:	The following two types of greedy algorithms are considered: the pure greedy algorithm (PGA) and the orthogonal greedy algorithm (OGA). From the standpoint of estimating the rate of convergence on the entire class A1(D), the orthogonal greedy algorithm is optimal and significantly exceeds the pure greedy algorithm. The main result in the present paper is the assertion that the situation can also be opposite for separate elements of the class A1(D) (and even of the class A0(D)): the rate of convergence of the orthogonal greedy algorithm can be significantly lower than the rate of convergence of the pure greedy algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::796c10b3c1ad6db21ae8f2a0d67bace8 https://doi.org/10.1134/s0001434612090209 Zobrazit plný text záznamu Plný text ve formátu PDF