Standard

A probabilistic model of dynamic allocation of resources by investment region. / Zaitseva, I. V.; Malafeyev, O. A.; Dolgopolova, A F ; Novikova, E N ; Lugovskoy, S. I.

In: Journal of Physics: Conference Series, Vol. 1658, No. 1, 012072, 17.10.2020.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Zaitseva, IV, Malafeyev, OA, Dolgopolova, AF, Novikova, EN & Lugovskoy, SI 2020, 'A probabilistic model of dynamic allocation of resources by investment region', Journal of Physics: Conference Series, vol. 1658, no. 1, 012072. https://doi.org/10.1088/1742-6596/1658/1/012072

APA

Zaitseva, I. V., Malafeyev, O. A., Dolgopolova, A. F., Novikova, E. N., & Lugovskoy, S. I. (2020). A probabilistic model of dynamic allocation of resources by investment region. Journal of Physics: Conference Series, 1658(1), [012072]. https://doi.org/10.1088/1742-6596/1658/1/012072

Vancouver

Zaitseva IV, Malafeyev OA, Dolgopolova AF, Novikova EN, Lugovskoy SI. A probabilistic model of dynamic allocation of resources by investment region. Journal of Physics: Conference Series. 2020 Oct 17;1658(1). 012072. https://doi.org/10.1088/1742-6596/1658/1/012072

Author

Zaitseva, I. V. ; Malafeyev, O. A. ; Dolgopolova, A F ; Novikova, E N ; Lugovskoy, S. I. / A probabilistic model of dynamic allocation of resources by investment region. In: Journal of Physics: Conference Series. 2020 ; Vol. 1658, No. 1.

BibTeX

@article{b8828895cb8a40a0b725b7296fb16bf1,
title = "A probabilistic model of dynamic allocation of resources by investment region",
abstract = "The article discusses the most general, probabilistic model of the dynamic distribution of investment labor resources, describes a method for the optimal distribution of labor resources by investment region and determining the optimal modes of their redistribution taking into account changing conditions. In several regions of investment, several types of labor resources are invested simultaneously.",
author = "Zaitseva, {I. V.} and Malafeyev, {O. A.} and Dolgopolova, {A F} and Novikova, {E N} and Lugovskoy, {S. I.}",
note = "Funding Information: The work is partially supported by the RFBR grant no. 18-01-00796. Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2nd International Scientific and Practical Conference on Mathematical Modeling, Programming and Applied Mathematics, ISPCMMPAM 2020 ; Conference date: 05-11-2020 Through 06-11-2020",
year = "2020",
month = oct,
day = "17",
doi = "10.1088/1742-6596/1658/1/012072",
language = "English",
volume = "1658",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - A probabilistic model of dynamic allocation of resources by investment region

AU - Zaitseva, I. V.

AU - Malafeyev, O. A.

AU - Dolgopolova, A F

AU - Novikova, E N

AU - Lugovskoy, S. I.

N1 - Funding Information: The work is partially supported by the RFBR grant no. 18-01-00796. Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/10/17

Y1 - 2020/10/17

N2 - The article discusses the most general, probabilistic model of the dynamic distribution of investment labor resources, describes a method for the optimal distribution of labor resources by investment region and determining the optimal modes of their redistribution taking into account changing conditions. In several regions of investment, several types of labor resources are invested simultaneously.

AB - The article discusses the most general, probabilistic model of the dynamic distribution of investment labor resources, describes a method for the optimal distribution of labor resources by investment region and determining the optimal modes of their redistribution taking into account changing conditions. In several regions of investment, several types of labor resources are invested simultaneously.

UR - http://www.scopus.com/inward/record.url?scp=85096351383&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1658/1/012072

DO - 10.1088/1742-6596/1658/1/012072

M3 - Conference article

AN - SCOPUS:85096351383

VL - 1658

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012072

T2 - 2nd International Scientific and Practical Conference on Mathematical Modeling, Programming and Applied Mathematics, ISPCMMPAM 2020

Y2 - 5 November 2020 through 6 November 2020

ER -

ID: 72053723