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Weak thresholding greedy algorithms in Banach spaces

机译:Banach空间中的弱阈值贪婪算法

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摘要

We consider weak thresholding greedy algorithms with respect to Markushevich bases in general Banach spaces. We find sufficient conditions for the equivalence of boundedness and convergence of the approximants. We also show that if there is a weak thresholding algorithm for the system which gives the best n-term approximation up to a multiplicative constant, then the system is already "greedy". Similar results are proved for "almost greedy" and "semi-greedy" systems.
机译:对于一般的Banach空间中的Markushevich基,我们考虑弱阈值贪婪算法。我们为近似值的有界和收敛等价找到了充分的条件。我们还表明,如果系统中存在弱阈值算法,该算法可以给出最佳n项近似值直至乘法常数,则该系统已经“贪婪”。对于“几乎贪婪”和“半贪婪”系统,也证明了类似的结果。

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