Obserwuj
Yuto Miyatake
Yuto Miyatake
Associate Professor, Osaka University, Japan
Zweryfikowany adres z cas.cmc.osaka-u.ac.jp - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
An energy-preserving exponentially-fitted continuous stage Runge–Kutta method for Hamiltonian systems
Y Miyatake
BIT Numerical Mathematics 54, 777-799, 2014
682014
A characterization of energy-preserving methods and the construction of parallel integrators for Hamiltonian systems
Y Miyatake, JC Butcher
SIAM Journal on Numerical Analysis 54 (3), 1993-2013, 2016
622016
Conservative finite difference schemes for the Degasperis–Procesi equation
Y Miyatake, T Matsuo
Journal of Computational and Applied Mathematics 236 (15), 3728-3740, 2012
402012
Symplectic adjoint method for exact gradient of neural ODE with minimal memory
T Matsubara, Y Miyatake, T Yaguchi
Advances in Neural Information Processing Systems 34, 20772-20784, 2021
312021
Structure-preserving model reduction for dynamical systems with a first integral
Y Miyatake
Japan Journal of Industrial and Applied Mathematics 36 (3), 1021-1037, 2019
252019
A derivation of energy-preserving exponentially-fitted integrators for Poisson systems
Y Miyatake
Computer Physics Communications 187, 156-161, 2015
222015
Numerical integration of the Ostrovsky equation based on its geometric structures
Y Miyatake, T Yaguchi, T Matsuo
Journal of Computational Physics 231 (14), 4542-4559, 2012
222012
Estimation of ordinary differential equation models with discretization error quantification
T Matsuda, Y Miyatake
SIAM/ASA Journal on Uncertainty Quantification 9 (1), 302-331, 2021
212021
On the equivalence between SOR-type methods for linear systems and the discrete gradient methods for gradient systems
Y Miyatake, T Sogabe, SL Zhang
Journal of Computational and Applied Mathematics 342, 58-69, 2018
192018
Algorithms for the computation of the matrix logarithm based on the double exponential formula
F Tatsuoka, T Sogabe, Y Miyatake, SL Zhang
Journal of Computational and Applied Mathematics 373, 112396, 2020
182020
A general framework for finding energy dissipative/conservative -Galerkin schemes and their underlying -weak forms for nonlinear evolution equations
Y Miyatake, T Matsuo
BIT Numerical Mathematics 54 (4), 1119-1154, 2014
152014
Solution of the k-th eigenvalue problem in large-scale electronic structure calculations
D Lee, T Hoshi, T Sogabe, Y Miyatake, SL Zhang
Journal of Computational Physics 371, 618-632, 2018
142018
微分方程式に対する構造保存数値解法 (サーベイ,< 特集> 科学技術計算と数値解析研究部会)
松尾宇泰， 宮武勇登
日本応用数理学会論文誌 22 (3), 213-251, 2012
132012
Energy-preserving H1-Galerkin schemes for shallow water wave equations with peakon solutions
Y Miyatake, T Matsuo
Physics Letters A 376 (40-41), 2633-2639, 2012
122012
Adjoint-based exact Hessian computation
S Ito, T Matsuda, Y Miyatake
BIT Numerical Mathematics 61 (2), 503-522, 2021
11*2021
The symplectic adjoint method: memory-efficient backpropagation of neural-network-based differential equations
T Matsubara, Y Miyatake, T Yaguchi
IEEE Transactions on Neural Networks and Learning Systems, 2023
102023
Generalization of partitioned Runge–Kutta methods for adjoint systems
T Matsuda, Y Miyatake
Journal of Computational and Applied Mathematics 388, 113308, 2021
102021
Geometric numerical integrators for Hunter–Saxton-like equations
Y Miyatake, D Cohen, D Furihata, T Matsuo
Japan Journal of Industrial and Applied Mathematics 34, 441-472, 2017
102017
A note on the adaptive conservative/dissipative discretization for evolutionary partial differential equations
Y Miyatake, T Matsuo
Journal of computational and applied mathematics 274, 79-87, 2015
102015
A fully discrete curve-shortening polygonal evolution law for moving boundary problems
K Sakakibara, Y Miyatake
Journal of Computational Physics 424, 109857, 2021
92021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20