Upper bound evaluation in function recovery by linear method in the Besov space
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Abstract
This paper studies recovery and approximation of functions in the Besov spaces with mixed smoothness by linear methods. Accordingly, linear sampling recovery methods of functions are conducted in the Besov spaces and the upper bound of the method is evaluated. The main result of this paper is to extend and generalize the previous results.
Keywords
Besov-type spaces, Linear sampling recovery, Nonlinear adaptive sampling recovery
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