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• Содержание выпуска • • Mathematical Foundations of Programming • • Methods for Optimal Control and Control Theory • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Supercomputing Software and Hardware •
Methods for Optimal Control and Control Theory
Responsible for the Section:
doctor of physico-mathematical Sciences Yury Sachkov.
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
.
Article #
18_2020
14 p.
PDF |
submitted on 21th
Oct
2020 displayed on
website on
06th
Dec
2020 Lawrence E.
Blume, Aleksandra A. Lukina
A Note on
Migration Perturbation and Convergence Rates
to a Steady State
Using tools developed in the Markov chains
literature, we study convergence times in the Leslie population
model in the short and middle run. Assuming that the population is
in a steady-state and reproduces itself period after period, we
address the following question: how long will it take to get back to
the steady-state if the population distribution vector was affected
by some shock as, for instance, the “brain drain”? We provide lower
and upper bounds for the time required to reach a given distance
from the steady-state.
Key words: The Leslie population model,
migration perturbation, convergence rates to
a steady-state. |
article citation |
http://psta.psiras.ru/read/psta2020_4_17-30.pdf |
DOI |
https://doi.org/10.25209/2079-3316-2020-11-4-17-30 |
• Mathematical Foundations of Programming • • Methods for Optimal Control and Control Theory • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Supercomputing Software and Hardware •
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