Sparse representation of smooth linear operators
Sparse representation of smooth linear operators
Fast Fourier transforms for nonequispaced data
SIAM Journal on Scientific Computing
Adaptive solution of partial differential equations in multiwavelet bases
Journal of Computational Physics
Singular operators in multiwavelet bases
IBM Journal of Research and Development
Short Note: The type 3 nonuniform FFT and its applications
Journal of Computational Physics
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We present a fast algorithm to compute the partial transformation of a function represented in an adaptive pseudo-spectral multi-wavelet representation to a partial Fourier representation. Such fast transformations are useful in many contexts in physics and engineering, where changes of representation from a piece wise polynomial basis to a Fourier basis. The algorithm is demonstrated for a Gaussian in one and in three dimensions. For 2D, we apply this approach to a Gaussian in a periodic domain. The accuracy and the performance of this method is compared with direct summation.