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MOMENT EQUATIONS FOR STOCHASTIC SYSTEM SPECIAL KIND AS INSTRUMENT IN APPLY PROBLEM

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F22%3APU151003" target="_blank" >RIV/00216305:26510/22:PU151003 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://journal.access-bg.org/journalfiles/journal/issue-3-3-2022/02-moment_equations_for_stochastic_system_special_kind_as_instrument_in_apply_problem.pdf" target="_blank" >https://journal.access-bg.org/journalfiles/journal/issue-3-3-2022/02-moment_equations_for_stochastic_system_special_kind_as_instrument_in_apply_problem.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46656/access.2022.3.3(2)" target="_blank" >10.46656/access.2022.3.3(2)</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    MOMENT EQUATIONS FOR STOCHASTIC SYSTEM SPECIAL KIND AS INSTRUMENT IN APPLY PROBLEM

  • Popis výsledku v původním jazyce

    In paper considered the method of constructing moment equations for random solution of systems of nonlinear differential and difference equations, the right part of which depends on the stochastic process. Torque equations are constructed in the presence of jumps in solutions. For a system of differential equations with random coefficients, the case when the heterogeneous part of the system contains random processes such as white noise is considered. The ideas of A.M Kolmogorov and V.I. Zubov on the analytical definition of random processes have been developed. In particular, non-Markov processes are investigated, which are determined by systems of linear differential equations with a delay in the argument. With the help of stochastic operators, fundamentally new results were obtained for non-Afarkov random processes, from which the main known results for Markov processes emerge. Methods and algorithms of analytical determination of finite-valued and infinite-digit random processes are proposed. The methods of studying the behaviours of the matrix of the second moments of some important classes of stochastic systems of equations are given because many optimization problems are reduced to the minimization of such a matrix. The substantiation of difference approximation for solving some types of differential equations used for the numerical solution of problems is carried out.

  • Název v anglickém jazyce

    MOMENT EQUATIONS FOR STOCHASTIC SYSTEM SPECIAL KIND AS INSTRUMENT IN APPLY PROBLEM

  • Popis výsledku anglicky

    In paper considered the method of constructing moment equations for random solution of systems of nonlinear differential and difference equations, the right part of which depends on the stochastic process. Torque equations are constructed in the presence of jumps in solutions. For a system of differential equations with random coefficients, the case when the heterogeneous part of the system contains random processes such as white noise is considered. The ideas of A.M Kolmogorov and V.I. Zubov on the analytical definition of random processes have been developed. In particular, non-Markov processes are investigated, which are determined by systems of linear differential equations with a delay in the argument. With the help of stochastic operators, fundamentally new results were obtained for non-Afarkov random processes, from which the main known results for Markov processes emerge. Methods and algorithms of analytical determination of finite-valued and infinite-digit random processes are proposed. The methods of studying the behaviours of the matrix of the second moments of some important classes of stochastic systems of equations are given because many optimization problems are reduced to the minimization of such a matrix. The substantiation of difference approximation for solving some types of differential equations used for the numerical solution of problems is carried out.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10102 - Applied mathematics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    ACCESS-ACCESS TO SCIENCE BUSINESS INNOVATION IN THE DIGITAL ECONOMY

  • ISSN

    2683-1007

  • e-ISSN

  • Svazek periodika

    3

  • Číslo periodika v rámci svazku

    3

  • Stát vydavatele periodika

    BG - Bulharská republika

  • Počet stran výsledku

    11

  • Strana od-do

    221-231

  • Kód UT WoS článku

    000894274600002

  • EID výsledku v databázi Scopus