Matrix Methods: Theory, Algorithms and Applications 2010
DOI: 10.1142/9789812836021_0020
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Concepts of Data-Sparse Tensor-Product Approximation in Many-Particle Modelling

Abstract: We present concepts of data-sparse tensor approximations to the functions and operators arising in many-particle models of quantum chemistry. Our approach is based on the systematic use of structured tensor-product representations where the low-dimensional components are represented in hierarchical or wavelet based matrix formats. The modern methods of tensor-product approximation in higher dimensions are discussed with the focus on analytically based approaches. We give numerical illustrations which confirm t… Show more

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Cited by 10 publications
(9 citation statements)
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References 79 publications
(95 reference statements)
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“…In connection with wavelet bases, in [10,19,38] an approach for efficient computation of integrals using separable approximations has been developed, focusing on the efficient computation of individual wavelet coefficients and discretization matrix entries and accordingly tailored error estimates. Since for our purposes we want to avoid explicitly assembling matrices as in (5.3) whenever possible, we are rather interested in a different point of view: we replace the potential terms in (5.3) by separable approximations (5.8) and exploit the tensor product structure for applying the operators efficiently.…”
Section: Separable Approximation Of Potentialsmentioning
confidence: 99%
“…In connection with wavelet bases, in [10,19,38] an approach for efficient computation of integrals using separable approximations has been developed, focusing on the efficient computation of individual wavelet coefficients and discretization matrix entries and accordingly tailored error estimates. Since for our purposes we want to avoid explicitly assembling matrices as in (5.3) whenever possible, we are rather interested in a different point of view: we replace the potential terms in (5.3) by separable approximations (5.8) and exploit the tensor product structure for applying the operators efficiently.…”
Section: Separable Approximation Of Potentialsmentioning
confidence: 99%
“…These can be obtained from the familiar representation of the Coulomb potential via a Gaussian transform, we refer to Ref. [61] for further details. In Paper I, we have discussed a wavelet based approach for the canonical format which furthermore provides sparse approximations of the Kronecker factors.…”
Section: Tensor Product Approximationmentioning
confidence: 99%
“…Moreover, there are interesting results on the tensor-product approximation of the 3D Newton and Yukawa potentials in the framework of the waveletand polynomial-based multiresolution schemes [16,4], as well as using the grid-based approximations [13,8,25,29].…”
Section: Introductionmentioning
confidence: 99%