Gustavo Garrigós

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We prove optimal embeddings for nonlinear approximation spaces A α q , in terms of weighted Lorentz sequence spaces, with the weights depending on the democracy functions of the basis. As applications we recover known embeddings for N-term wavelet approximation in L p , Orlicz, and Lorentz norms. We also study the " greedy classes " G α q introduced by(More)
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