Fast cubature of volume potentials over rectangular domains
Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

TL;DR
This paper introduces high-order cubature formulas for efficiently computing volume potentials over rectangular domains, achieving high accuracy and scalability in very high dimensions using tensor product representations.
Contribution
It develops a novel tensor product-based cubature method for high-dimensional volume potentials using approximate approximation basis functions.
Findings
Achieves $O(h^6)$ accuracy in high dimensions
Efficient cubature in dimensions up to 10^8
Numerical tests confirm high accuracy and efficiency
Abstract
In the present paper we study high-order cubature formulas for the computation of advection-diffusion potentials over boxes. By using the basis functions introduced in the theory of approximate approximations, the cubature of a potential is reduced to the quadrature of one dimensional integrals. For densities with separated approximation, we derive a tensor product representation of the integral operator which admits efficient cubature procedures in very high dimensions. Numerical tests show that these formulas are accurate and provide approximation of order up to dimension .
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Taxonomy
TopicsTensor decomposition and applications · Advanced Numerical Methods in Computational Mathematics · Model Reduction and Neural Networks
