Yuta Yaegashi
According to our database1,
Yuta Yaegashi
authored at least 15 papers
between 2017 and 2022.
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Bibliography
2022
Biological population management based on a Hamilton-Jacobi-Bellman equation with boundary blow up.
Int. J. Control, 2022
2021
HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation.
Comput. Math. Appl., 2021
2020
Analytical and numerical solutions to ergodic control problems arising in environmental management.
CoRR, 2020
Stochastic impulse control of non-smooth dynamics with partial observation and execution delay: application to an environmental restoration problem.
CoRR, 2020
A random observation-based management model of population dynamics and its ecological application.
CoRR, 2020
Analysis and computation of a discrete costly observation model for growth estimation and management of biological resources.
Comput. Math. Appl., 2020
2019
A finite difference scheme for variational inequalities arising in stochastic control problems with several singular control variables.
Math. Comput. Simul., 2019
Hamilton-Jacobi-Bellman Quasi-Variational Inequality arising in an environmental problem and its numerical discretization.
Comput. Math. Appl., 2019
Non-Local Fokker-Planck Equation of Imperfect Impulsive Interventions and its Effectively Super-Convergent Numerical Discretization.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2019
2018
Syst. Control. Lett., 2018
Dynamic Decision-Making Model for Stochastic Population Management with Scheduled Inspections.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
Finite Difference Scheme for Stochastic Differential Games with Several Singular Control Variables and Its Environmental Application.
Proceedings of the Finite Difference Methods. Theory and Applications, 2018
Finite Difference Computation of a Stochastic Aquaculture Problem Under Incomplete Information.
Proceedings of the Finite Difference Methods. Theory and Applications, 2018
2017
An optimal management strategy for stochastic population dynamics of released <i>Plecoglossus altivelis</i> in rivers.
Int. J. Model. Simul. Sci. Comput., 2017