Abstract
We study a weak greedy type algorithm called the weak pre-orthogonal adaptive Fourier decomposition (WPOAFD) for the Bergman space on a bounded pseudoconvex domain Ω with smooth boundary. We show that any function can be approximated by linear combinations of kernel functions in weak greedy sense.
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