Tensor Numerical Methods in Quantum Chemistry

Tensor Numerical Methods in Quantum Chemistry
Author :
Publisher : Walter de Gruyter GmbH & Co KG
Total Pages : 343
Release :
ISBN-10 : 9783110391374
ISBN-13 : 3110391376
Rating : 4/5 (376 Downloads)

Book Synopsis Tensor Numerical Methods in Quantum Chemistry by : Venera Khoromskaia

Download or read book Tensor Numerical Methods in Quantum Chemistry written by Venera Khoromskaia and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-06-11 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conventional numerical methods when applied to multidimensional problems suffer from the so-called "curse of dimensionality", that cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a "smart" rank-structured tensor representation of the multivariate functions and operators discretized on Cartesian grids thus reducing solution of the multidimensional integral-differential equations to 1D calculations. We explain basic tensor formats and algorithms and show how the orthogonal Tucker tensor decomposition originating from chemometrics made a revolution in numerical analysis, relying on rigorous results from approximation theory. Benefits of tensor approach are demonstrated in ab-initio electronic structure calculations. Computation of the 3D convolution integrals for functions with multiple singularities is replaced by a sequence of 1D operations, thus enabling accurate MATLAB calculations on a laptop using 3D uniform tensor grids of the size up to 1015. Fast tensor-based Hartree-Fock solver, incorporating the grid-based low-rank factorization of the two-electron integrals, serves as a prerequisite for economical calculation of the excitation energies of molecules. Tensor approach suggests efficient grid-based numerical treatment of the long-range electrostatic potentials on large 3D finite lattices with defects.The novel range-separated tensor format applies to interaction potentials of multi-particle systems of general type opening the new prospects for tensor methods in scientific computing. This research monograph presenting the modern tensor techniques applied to problems in quantum chemistry may be interesting for a wide audience of students and scientists working in computational chemistry, material science and scientific computing.


Tensor Numerical Methods in Quantum Chemistry Related Books

Tensor Numerical Methods in Quantum Chemistry
Language: en
Pages: 343
Authors: Venera Khoromskaia
Categories: Mathematics
Type: BOOK - Published: 2018-06-11 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

The conventional numerical methods when applied to multidimensional problems suffer from the so-called "curse of dimensionality", that cannot be eliminated by u
Tensor Numerical Methods in Quantum Chemistry
Language: en
Pages: 298
Authors: Venera Khoromskaia
Categories: Mathematics
Type: BOOK - Published: 2018-06-11 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

The conventional numerical methods when applied to multidimensional problems suffer from the so-called "curse of dimensionality", that cannot be eliminated by u
Tensor Numerical Methods in Electronic Structure Calculations
Language: en
Pages: 240
Authors: Venera Khoromskaia
Categories:
Type: BOOK - Published: 2016 - Publisher:

DOWNLOAD EBOOK

Tensor Numerical Methods in Scientific Computing
Language: en
Pages: 475
Authors: Boris N. Khoromskij
Categories: Mathematics
Type: BOOK - Published: 2018-06-11 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

The most difficult computational problems nowadays are those of higher dimensions. This research monograph offers an introduction to tensor numerical methods de
Introduction to Tensor Network Methods
Language: en
Pages: 172
Authors: Simone Montangero
Categories: Science
Type: BOOK - Published: 2018-11-28 - Publisher: Springer

DOWNLOAD EBOOK

This volume of lecture notes briefly introduces the basic concepts needed in any computational physics course: software and hardware, programming skills, linear