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Yuta Yaegashi
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2020 – today
- 2022
- [j8]Hidekazu Yoshioka
, Yuta Yaegashi, Yumi Yoshioka, Masayuki Fujihara:
Biological population management based on a Hamilton-Jacobi-Bellman equation with boundary blow up. Int. J. Control 95(1): 50-67 (2022) - 2021
- [j7]Hidekazu Yoshioka, Motoh Tsujimura, Kunihiko Hamagami, Yuta Yaegashi, Yumi Yoshioka:
HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation. Comput. Math. Appl. 96: 131-154 (2021) - 2020
- [j6]Hidekazu Yoshioka
, Yumi Yoshioka, Yuta Yaegashi, Tomomi Tanaka, Masahiro Horinouchi, Futoshi Aranishi
:
Analysis and computation of a discrete costly observation model for growth estimation and management of biological resources. Comput. Math. Appl. 79(4): 1072-1093 (2020) - [i4]Hidekazu Yoshioka, Yuta Yaegashi, Motoh Tsujimura:
A random observation-based management model of population dynamics and its ecological application. CoRR abs/2004.04844 (2020) - [i3]Hidekazu Yoshioka, Yuta Yaegashi:
Stochastic impulse control of non-smooth dynamics with partial observation and execution delay: application to an environmental restoration problem. CoRR abs/2006.16034 (2020) - [i2]Hidekazu Yoshioka, Motoh Tsujimura, Kunihiko Hamagami, Yuta Yaegashi, Yumi Yoshioka:
HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation. CoRR abs/2009.00184 (2020) - [i1]Hidekazu Yoshioka, Motoh Tsujimura, Yuta Yaegashi:
Analytical and numerical solutions to ergodic control problems arising in environmental management. CoRR abs/2012.14087 (2020)
2010 – 2019
- 2019
- [j5]Hidekazu Yoshioka
, Yuta Yaegashi, Yumi Yoshioka, Kunihiko Hamagami:
Hamilton-Jacobi-Bellman Quasi-Variational Inequality arising in an environmental problem and its numerical discretization. Comput. Math. Appl. 77(8): 2182-2206 (2019) - [j4]Hidekazu Yoshioka
, Yuta Yaegashi:
A finite difference scheme for variational inequalities arising in stochastic control problems with several singular control variables. Math. Comput. Simul. 156: 40-66 (2019) - [c4]Hidekazu Yoshioka
, Yuta Yaegashi, Motoh Tsujimura
, Masayuki Fujihara:
Non-Local Fokker-Planck Equation of Imperfect Impulsive Interventions and its Effectively Super-Convergent Numerical Discretization. AsiaSim 2019: 79-91 - 2018
- [j3]Yuta Yaegashi, Hidekazu Yoshioka
:
Unique solvability of a singular stochastic control model for population management. Syst. Control. Lett. 116: 66-70 (2018) - [j2]Hidekazu Yoshioka
, Yuta Yaegashi:
An optimal stopping approach for onset of fish migration. Theory Biosci. 137(2): 99-116 (2018) - [c3]Hidekazu Yoshioka, Yuta Yaegashi:
Finite Difference Scheme for Stochastic Differential Games with Several Singular Control Variables and Its Environmental Application. FDM 2018: 102-113 - [c2]Hidekazu Yoshioka, Kentaro Tsugihashi, Yuta Yaegashi:
Finite Difference Computation of a Stochastic Aquaculture Problem Under Incomplete Information. FDM 2018: 638-645 - [c1]Hidekazu Yoshioka, Yuta Yaegashi, Yumi Yoshioka, Kunihiko Hamagami, Masayuki Fujihara, Kentaro Tsugihashi:
Dynamic Decision-Making Model for Stochastic Population Management with Scheduled Inspections. SCIS&ISIS 2018: 1283-1288 - 2017
- [j1]Yuta Yaegashi, Hidekazu Yoshioka, Koichi Unami
, Masayuki Fujihara:
An optimal management strategy for stochastic population dynamics of released Plecoglossus altivelis in rivers. Int. J. Model. Simul. Sci. Comput. 8(2): 1750039:1-1750039:16 (2017)
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