Parallel algorithms of parametrical synthesis models for computer complex MVS-1000/16
Matematičeskoe modelirovanie, Tome 16 (2004) no. 6, pp. 18-22
Cet article a éte moissonné depuis la source Math-Net.Ru
The problem of choosing optimal parameters nominals of analogues engineering devices and systems is considered. Special attention is paid to algorithms that reduce the computation cost of optimization problem. Several parallel techniques for multivariate analysis and stochastic optimization are discussed.
@article{MM_2004_16_6_a3,
author = {Ya. V. Katueva},
title = {Parallel algorithms of parametrical synthesis models for computer complex {MVS-1000/16}},
journal = {Matemati\v{c}eskoe modelirovanie},
pages = {18--22},
year = {2004},
volume = {16},
number = {6},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/MM_2004_16_6_a3/}
}
Ya. V. Katueva. Parallel algorithms of parametrical synthesis models for computer complex MVS-1000/16. Matematičeskoe modelirovanie, Tome 16 (2004) no. 6, pp. 18-22. http://geodesic.mathdoc.fr/item/MM_2004_16_6_a3/
[1] O. V. Abramov, Parametricheskii sintez stokhasticheskikh sistem s uchetom trebovanii nadezhnosti, Nauka, M., 1992
[2] V. V. Voevodin, Vl. V. Voevodin, Parallelnye vychisleniya, BKhV-Peterburg, SPb., 2002, 609 pp.
[3] P. Coddington, “Random number generators for parallel computers”, NHSE Review, 1996, no. 2
[4] M. Mascagni and A. Srinivasan, “Algorithm 806: SPRNG: A Scalable Library for Pseudorandom Number Generation”, ACM Transactions on Mathematical Software, 26, 436–461 | DOI
[5] B. V. Vasilev, B. A. Kozlov, L. G. Tkachenko, Nadezhnost i effektivnost radioelektronnykh ustroistv, Sovetskoe radio, M., 1964