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Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach. / Andrianov, Serge N.; Kulabukhova, Nataliia.

In: Lecture Notes in Computer Science, Vol. 9786, 2016, p. 418-430.

Research output: Contribution to journal › Article › peer-review

Harvard

Andrianov, SN & Kulabukhova, N 2016, 'Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach', Lecture Notes in Computer Science, vol. 9786, pp. 418-430. https://doi.org/10.1007/978-3-319-42085-1_32

APA

Andrianov, S. N., & Kulabukhova, N. (2016). Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach. Lecture Notes in Computer Science, 9786, 418-430. https://doi.org/10.1007/978-3-319-42085-1_32

Vancouver

Andrianov SN, Kulabukhova N. Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach. Lecture Notes in Computer Science. 2016;9786:418-430. https://doi.org/10.1007/978-3-319-42085-1_32

Author

Andrianov, Serge N. ; Kulabukhova, Nataliia. / Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach. In: Lecture Notes in Computer Science. 2016 ; Vol. 9786. pp. 418-430.

BibTeX

@article{329b29bdaebf41978ff8e6c06508c9e1,
title = "Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach",
author = "Andrianov, {Serge N.} and Nataliia Kulabukhova",
year = "2016",
doi = "10.1007/978-3-319-42085-1_32",
language = "English",
volume = "9786",
pages = "418--430",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach

AU - Andrianov, Serge N.

AU - Kulabukhova, Nataliia

PY - 2016

Y1 - 2016

U2 - 10.1007/978-3-319-42085-1_32

DO - 10.1007/978-3-319-42085-1_32

M3 - Article

VL - 9786

SP - 418

EP - 430

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 7593885