Interpolation lattices for hyperbolic cross trigonometric polynomials

被引:17
|
作者
Kaemmerer, Lutz [2 ]
Kunis, Stefan [1 ,3 ]
Potts, Daniel [2 ]
机构
[1] Univ Osnabruck, Inst Math, D-49069 Osnabruck, Germany
[2] Tech Univ Chemnitz, Fac Math, D-09107 Chemnitz, Germany
[3] Helmholtz Zentrum Munchen, Inst Biomath & Biometry, D-85764 Neuherberg, Germany
关键词
Trigonometric approximation; Hyperbolic cross; Sparse grid; Lattice rule; Fast Fourier transform; FOURIER-TRANSFORM; SPARSE GRIDS; RULES;
D O I
10.1016/j.jco.2011.05.002
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Sparse grid discretisations allow for a severe decrease in the number of degrees of freedom for high-dimensional problems. Recently, the corresponding hyperbolic cross fast Fourier transform has been shown to exhibit numerical instabilities already for moderate problem sizes. In contrast to standard sparse grids as spatial discretisation, we propose the use of oversampled lattice rules known from multivariate numerical integration. This allows for the highly efficient and perfectly stable evaluation and reconstruction of trigonometric polynomials using only one ordinary FFT. Moreover, we give numerical evidence that reasonable small lattices exist such that our new method outperforms the sparse grid based hyperbolic cross FFT for realistic problem sizes. (C) 2011 Elsevier Inc. All rights reserved.
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页码:76 / 92
页数:17
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