Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Yuta Yaegashi"'
Publikováno v:
Journal of Chemical Engineering of Japan, Vol 56, Iss 1 (2023)
In this study, an efficient conversion algorithm of level set function [Formula: see text] from volume fraction [Formula: see text] is developed. This method makes the calculation of [Formula: see text] easier than the conventional CLSVOF method, and
Externí odkaz:
https://doaj.org/article/b1fa3c68373647a7a7b1a4c158508512
Autor:
Hidekazu Yoshioka, Yuta Yaegashi
Publikováno v:
Journal of Mathematics in Industry, Vol 11, Iss 1, Pp 1-34 (2021)
Abstract A stochastic impulse control problem with imperfect controllability of interventions is formulated with an emphasis on applications to ecological and environmental management problems. The imperfectness comes from uncertainties with respect
Externí odkaz:
https://doaj.org/article/b4634c46a9e744548b07a851f032cc60
Publikováno v:
Journal of Mathematics in Industry, Vol 9, Iss 1, Pp 1-26 (2019)
Abstract We formulate a stochastic impulse control model for animal population management and a candidate of exact solutions to a Hamilton–Jacobi–Bellman quasi-variational inequality. This model has a qualitatively different functional form of th
Externí odkaz:
https://doaj.org/article/3a7c1d0ffde04e8aab0a9ac671ea75a3
Publikováno v:
Letters in Biomathematics, Vol 6, Iss 1, Pp 67-77 (2019)
A minimal stochastic generalization of a deterministic open-ended logistic growth model is proposed for efficiently describing the biological growth of individual organisms under natural environment. The model is a system of stochastic differential e
Externí odkaz:
https://doaj.org/article/482d406c28d34598af9083f503f5a4bb
Autor:
Hidekazu Yoshioka, Yuta Yaegashi
Publikováno v:
Journal of Biological Dynamics, Vol 12, Iss 1, Pp 242-270 (2018)
A stochastic control model for finding an ecologically sound, fit-for-purpose dam operation policy to suppress bloom of attached algae in its downstream is presented. A singular exactly solvable and a more realistic regular-singular cases are analyse
Externí odkaz:
https://doaj.org/article/26573cf623c54441a4fc714f717848c9
Autor:
Hidekazu Yoshioka, Yuta Yaegashi
Publikováno v:
Journal of Biological Dynamics, Vol 12, Iss 1, Pp 817-845 (2018)
A new bio-economic model for managing population of non-renewable inland fishery resource in uncertain environment is presented. Population dynamics of the resource is described with stochastic differential equations (SDEs) having ambiguous growth an
Externí odkaz:
https://doaj.org/article/606f6f9b1ca947a4a6bb3b6abbfd26f5
Autor:
Hidekazu Yoshioka, Yuta Yaegashi
Publikováno v:
Journal of Mathematics in Industry, Vol 7, Iss 1, Pp 1-23 (2017)
Abstract A stochastic optimization model for management of aquacultured fish for sale and ecological education is established. Population dynamics of the fish is described with a system of stochastic differential equations assuming that they are stoc
Externí odkaz:
https://doaj.org/article/91943e89fcfe408da0b4806b0ab4da5d
Publikováno v:
Computers & Mathematics with Applications. 96:131-154
We formulate a new two-variable river environmental restoration problem based on jump stochastic differential equations (SDEs) governing the sediment storage and nuisance benthic algae population dynamics in a dam-downstream river. Controlling the dy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4aa1b6fd2f86c353dd40fecff5e7372
https://doi.org/10.1016/j.camwa.2021.05.015
https://doi.org/10.1016/j.camwa.2021.05.015
Autor:
Hidekazu Yoshioka, Yuta Yaegashi
Publikováno v:
Optimal Control Applications and Methods. 42:1226-1252
Non-smooth dynamics driven by stochastic disturbance arise in a wide variety of engineering problems. Impulsive interventions are often employed to control stochastic systems; however, the modeling and analysis subject to execution delay have been le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed06649116e3648063bbdaf9844b90fb
https://doi.org/10.1002/oca.2723
https://doi.org/10.1002/oca.2723
Publikováno v:
Applied Stochastic Models in Business and Industry. 37:113-138
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f3cdf322e60b97e2fd9a4ce5d778c30
https://doi.org/10.1002/asmb.2559
https://doi.org/10.1002/asmb.2559