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The best m-term approximation and greedy algorithms

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Abstract

Two theorems on nonlinear \(m\)‐term approximation in \(L_p ,\;1 < p < \infty\), are proved in this paper. The first one (theorem 2.1) says that if a basis \({\Psi }:{ = }\left\{ {\psi _I } \right\}_I\) is \(L_p\)‐equivalent to the Haar basis then a near best \(m\)>‐term approximation to any \(f \in L_p\) can be realized by the following simple greedy type algorithm. Take the expansion \(f = \sum\nolimits_I {c_I \psi _I }\) and form a sum of \(m\) terms with the largest \(\left\| {c_I \psi _I } \right\|_p\) out of this expansion.

The second one (theorem 3.3) states that nonlinear \(m\)‐term approximations with regard to two dictionaries: the Haar basis and the set of all characteristic functions of intervals are equivalent in a very strong sense.

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Temlyakov, V. The best m-term approximation and greedy algorithms. Advances in Computational Mathematics 8, 249–265 (1998). https://doi.org/10.1023/A:1018900431309

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  • DOI: https://doi.org/10.1023/A:1018900431309

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