Approximation of the electron density of Aluminium clusters in tensor-product format
By Thomas Blesgen, Vikram Gavini, Venera Khoromskaia. 2012
11 citations recorded by the source corpus.
Subfields: Computational Mathematics, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mathematics
- Boris N. Khoromskij
- Venera Khoromskaia
- Dirk Andrae
- Ivan V. Oseledets
- Sergey V. Dolgov
- Wolfgang Hackbusch
- Vladimir A. Kazeev
- Dmitry V. Savostyanov
In Computational Theory and Mathematics
- Boris N. Khoromskij
- Venera Khoromskaia
- Dirk Andrae
- Ivan V. Oseledets
- Sergey V. Dolgov
- Vladimir A. Kazeev
- Ivan P. Gavrilyuk
- Dmitry V. Savostyanov
Citations in the corpus
- A literature survey of low‐rank tensor approximation techniques (2013, neutral): “…multi-dimensional convolution [152]; • computational tasks in electronic structure calculations, e.g., based on Hartree-Fock or DFT models [23,24,31,44,45,47,87,141–146,150,156–159]; • the solution of stochastic and parametric PDEs [68,69,76,77,161,165,171,189,202]; • approximation of Green’s…”
- Fast and accurate 3D tensor calculation of the Fock operator in a general basis (2012, background): “Other possible advantageous application areas include semiperiodic systems [27, 28] and the grid-based evaluation of the two-electron integrals tensor in Hartree-Fock and post Hartree-Fock calculations.”