Analysis of physical processes via imaging vectors

Analysis of physical processes via imaging vectors

Bibliografski detalji
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 135 : Issues of Physics and Technology in Science, Industry and Medicine.— 2016.— [012051, 6 p.]
Glavni autor: Volovodenko V.
Autor kompanije: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра общей физики (ОФ)
Daljnji autori: Efremova N. A. Nataliya Aleksandrovna, Efremov V. I. Vadim Igorevich
Sažetak:Title screen
Practically, all modeling processes in one way or another are random. The foremost formulated theoretical foundation embraces Markov processes, being represented in different forms. Markov processes are characterized as a random process that undergoes transitions from one state to another on a state space, whereas the probability distribution of the next state depends only on the current state and not on the sequence of events that preceded it. In the Markov processes the proposition (model) of the future by no means changes in the event of the expansion and/or strong information progression relative to preceding time. Basically, modeling physical fields involves process changing in time, i.e. non-stationay processes. In this case, the application of Laplace transformation provides unjustified description complications. Transition to other possibilities results in explicit simplification. The method of imaging vectors renders constructive mathematical models and necessary transition in the modeling process and analysis itself. The flexibility of the model itself using polynomial basis leads to the possible rapid transition of the mathematical model and further analysis acceleration. It should be noted that the mathematical description permits operator representation. Conversely, operator representation of the structures, algorithms and data processing procedures significantly improve the flexibility of the modeling process.
Jezik:engleski
Izdano: 2016
Teme:
электронный ресурс
труды учёных ТПУ
физические процессы
визуализация
марковские процессы
математические модели
Online pristup:http://dx.doi.org/10.1088/1757-899X/135/1/012051
http://earchive.tpu.ru/handle/11683/34842
Format: Elektronički Poglavlje knjige
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650339

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