Ritsumeikan University Researcher Database
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> NAKAGAWA TAKUYA
(Last updated : 2024-11-05 12:46:35)
NAKAGAWA TAKUYA
Department / Course
College of Science and Engineering Department of Mathematical Sciences
Title / Position
Assistant Professor
Achievement
Other Affiliations
Profile
Academic background
Business career
Committee and society
Research activities
Qualification and license
Subject of research
Research summary
Research summary(Photo/Image)
Present specialized field
research
Books
Papers
Others
Academic conference presentation
Other research achievements
Works
Winning science prize
Grants-in-Aid for Scientific Research -KAKENHI-
Competitive grants, etc. (exc. KAKENHI)
Achievements of joint.Funded research
Acquisition patent
Ritsumeikan Research Funding
teaching
Subject
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social activity
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Research exchange preferred theme
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Home Page
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Department laboratory expense researcher number
researchmap Researcher code
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Other Affiliations
1.
Graduate School of Science and Engineering
Academic background
1.
2017/04~2021/03
Doctoral Program (2nd Semester) │ Advanced Mathematics and Physics │ Graduate School of Science and Engineering │ Ritsumeikan University │ Completed
2.
2015/04~2017/03
Doctoral Program (1st Semester) │ Advanced Mathematics and Physics │ Graduate School of Science and Engineering │ Ritsumeikan University │ Completed
3.
2011/04/01~2015/03
Faculty of Science │ Ritsumeikan University │ Graduated
Papers
1.
2021/04/24
On a Monte Carlo scheme for some linear stochastic partial differential equations.” Monte Carlo Methods and Applications │ Monte Carlo Methods and Applications │ 27 (2),pp.169-193 (Co-authored)
2.
2020/08/04
Lα−1 distance between two one-dimensional stochastic differential equations driven by a symmetric α-stable process │ Japan Journal of Industrial and Applied Mathematics │ 37 (3),pp.929-956 (Sole-authored)
Academic conference presentation
1.
2023/02/16
Existence of density functions for the running maximum of SDEs by non-truncated stable like processes (Osaka-UCL Mini-Workshop on Stochastics, Numerics and Risk)