Search

MiS Preprint Repository

We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV (www.arxiv.org) that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint
71/2009

Efficient multi-scale computation of products of orbitals in electronic structure calculations

Sambasiva Rao Chinnamsetty, Wolfgang Hackbusch and Heinz-Jürgen Flad

Abstract

The computation of two-electron integrals in electronic structure calculations is a major bottleneck in Hartree-Fock, density functional theory and post-Hartree-Fock methods. For large systems, one has to compute a huge number of two-electron integrals for these methods which leads to very high computational costs. The adaptive computation of products of orbitals in wavelet bases provides an important step towards efficient algorithms for the treatment of two-electron integrals in tensor product formats. For this, we use the non-standard approach of Beylkin which avoids explicit coupling between different resolution levels. We tested the efficiency of the algorithm for the products of orbitals in Daubechies wavelet bases and computed the two-electron integrals. This paper contains the detailed procedure and corresponding error analysis.

Received:
03.12.09
Published:
09.12.09
Keywords:
Standard approach, Non-standard approach, Daubechies wavelet bases, Tensor product approximation, Electronic structure calculations, Products of orbitals, Two-electron integrals

Related publications

inJournal
2010 Repository Open Access
Sambasiva Rao Chinnamsetty, Wolfgang Hackbusch and Heinz-Jürgen Flad

Efficient multi-scale computation of products of orbitals in electronic structure calculations

In: Computing and visualization in science, 13 (2010) 8, pp. 397-408