Standard

The use of intrinsic properties of physical system for derivation of high-performance computational algorithms. / Bogdanov, Alexander V.; Stankova, Elena N.

High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings. ed. / Bob Hertzberger; Alfons Hoekstra; Roy Williams. Springer Nature, 2001. p. 204-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2110).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Bogdanov, AV & Stankova, EN 2001, The use of intrinsic properties of physical system for derivation of high-performance computational algorithms. in B Hertzberger, A Hoekstra & R Williams (eds), High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2110, Springer Nature, pp. 204-210, 9th International Conference on High-Performance Computing and Networking, HPCN Europe 2001, Amsterdam, Netherlands, 25/06/01. https://doi.org/10.1007/3-540-48228-8_21

APA

Bogdanov, A. V., & Stankova, E. N. (2001). The use of intrinsic properties of physical system for derivation of high-performance computational algorithms. In B. Hertzberger, A. Hoekstra, & R. Williams (Eds.), High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings (pp. 204-210). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2110). Springer Nature. https://doi.org/10.1007/3-540-48228-8_21

Vancouver

Bogdanov AV, Stankova EN. The use of intrinsic properties of physical system for derivation of high-performance computational algorithms. In Hertzberger B, Hoekstra A, Williams R, editors, High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings. Springer Nature. 2001. p. 204-210. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-48228-8_21

Author

Bogdanov, Alexander V. ; Stankova, Elena N. / The use of intrinsic properties of physical system for derivation of high-performance computational algorithms. High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings. editor / Bob Hertzberger ; Alfons Hoekstra ; Roy Williams. Springer Nature, 2001. pp. 204-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{b0f2e6d2a203474780515f24b5e997f5,
title = "The use of intrinsic properties of physical system for derivation of high-performance computational algorithms",
abstract = "We discuss some new approach for derivation of computational algorithms for certain types of evolution equations. The main idea of the algorithm is to make functional transformation of variables on the base of symmetry properties of pertinent physical system to make it quasi-diagonal. The approach is illustrated with the help of two important examples - the scattering in molecular system with elementary chemical reactions and the system of chemical kinetics for the many components system. The use of proposed approach show substantial speed-up over the standard algorithms and seems to be more effective with the increase of the size of the problem.",
author = "Bogdanov, {Alexander V.} and Stankova, {Elena N.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on High-Performance Computing and Networking, HPCN Europe 2001 ; Conference date: 25-06-2001 Through 27-06-2001",
year = "2001",
doi = "10.1007/3-540-48228-8_21",
language = "English",
isbn = "3540422935",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "204--210",
editor = "Bob Hertzberger and Alfons Hoekstra and Roy Williams",
booktitle = "High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings",
address = "Germany",

}

RIS

TY - GEN

T1 - The use of intrinsic properties of physical system for derivation of high-performance computational algorithms

AU - Bogdanov, Alexander V.

AU - Stankova, Elena N.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2001. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2001

Y1 - 2001

N2 - We discuss some new approach for derivation of computational algorithms for certain types of evolution equations. The main idea of the algorithm is to make functional transformation of variables on the base of symmetry properties of pertinent physical system to make it quasi-diagonal. The approach is illustrated with the help of two important examples - the scattering in molecular system with elementary chemical reactions and the system of chemical kinetics for the many components system. The use of proposed approach show substantial speed-up over the standard algorithms and seems to be more effective with the increase of the size of the problem.

AB - We discuss some new approach for derivation of computational algorithms for certain types of evolution equations. The main idea of the algorithm is to make functional transformation of variables on the base of symmetry properties of pertinent physical system to make it quasi-diagonal. The approach is illustrated with the help of two important examples - the scattering in molecular system with elementary chemical reactions and the system of chemical kinetics for the many components system. The use of proposed approach show substantial speed-up over the standard algorithms and seems to be more effective with the increase of the size of the problem.

UR - http://www.scopus.com/inward/record.url?scp=84956976722&partnerID=8YFLogxK

U2 - 10.1007/3-540-48228-8_21

DO - 10.1007/3-540-48228-8_21

M3 - Conference contribution

AN - SCOPUS:84956976722

SN - 3540422935

SN - 9783540422938

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 204

EP - 210

BT - High-Performance Computing and Networking - 9th International Conference, HPCN Europe 2001, Proceedings

A2 - Hertzberger, Bob

A2 - Hoekstra, Alfons

A2 - Williams, Roy

PB - Springer Nature

T2 - 9th International Conference on High-Performance Computing and Networking, HPCN Europe 2001

Y2 - 25 June 2001 through 27 June 2001

ER -

ID: 77310177