Comparison of the convergence rate of pure greedy and orthogonal greedy algorithms
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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 A 1(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 A 1(D) (and even of the class A 0(D)): the rate of convergence of the orthogonal greedy algorithm can be significantly lower than the rate of convergence of the pure greedy algorithm.
Keywordspure greedy algorithm orthogonal greedy algorithm dictionary rate of convergence Hilbert space the classes A1(D) and A0(D)
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- 10.V. V. Dubinin, Greedy Algorithms and Applications, Ph. D. Thesis (Univ. South Carolina, 1997).Google Scholar