NANAOct 7, 2009

Derivation of an upper bound of the constant in the error bound for a near best m-term approximation

arXiv:0910.12021 citations
Originality Synthesis-oriented
AI Analysis

Provides a concrete constant for a known error bound in approximation theory, which is an incremental improvement.

The paper derives an explicit upper bound for the constant in the error bound for near best m-term approximation using the Haar system, which was previously not given explicitly.

In the paper "The best m-term approximation and greedy algorithms" (V. N. Temlyakov), an error bound for a near best m-term approximation of a function g in L^p([0,1]^d) is provided, using a basis L^p-equivalent to the Haar system, where p is greater than one and less than infinity and d is a natural number. The bound includes a constant C(p) that is not given explicitly. The goal of this paper is to find an upper bound of the constant for the Haar system.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes