Keiichi Morikuni

29 papers A* 1Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Block Cross-Interactive Residual Smoothing for Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. SIAM J. Matrix Anal. Appl. Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2024	J	`jnl`	Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides. CoRR Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2023	J	`jnl`	Complex moment-based methods for differential eigenvalue problems. Numer. Algorithms Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2023	J	`jnl`	Error estimate for regularized optimal transport problems via Bregman divergence. CoRR Keiichi Morikuni, Koya Sakakibara, Asuka Takatsu
2023	J	`jnl`	Recent advances in the numerical solution of matrix problems. J. Comput. Appl. Math. Ken Hayami, Keiichi Morikuni, Lothar Reichel, Ning Zheng
2023	J	`jnl`	Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. J. Comput. Appl. Math. Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2022	J	`jnl`	Complex moment-based methods for differential eigenvalue problems. CoRR Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2022	J	`jnl`	Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. SIAM J. Matrix Anal. Appl. Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2022	J	`jnl`	GMRES methods for tomographic reconstruction with an unmatched back projector. J. Comput. Appl. Math. Per Christian Hansen, Ken Hayami, Keiichi Morikuni
2021	J	`jnl`	Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides. CoRR Kensuke Aihara, Akira Imakura, Keiichi Morikuni
2021	J	`jnl`	GMRES Methods for Tomographic Reconstruction with an Unmatched Back Projector. CoRR Per Christian Hansen, Ken Hayami, Keiichi Morikuni
2021	J	`jnl`	Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems. SIAM J. Sci. Comput. Yi-Shu Du, Ken Hayami, Ning Zheng, Keiichi Morikuni, Jun-Feng Yin
2021	—	`conf`	Online Spectral Classification for Long-Term Spike Sorting. ICMHI Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt
2021	J	`jnl`	Projection Method for Eigenvalue Problems of Linear Nonsquare Matrix Pencils. SIAM J. Matrix Anal. Appl. Keiichi Morikuni
2021	J	`jnl`	Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. CoRR Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2020	J	`jnl`	A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. CoRR Zeyu Liao, Ken Hayami, Keiichi Morikuni, Jun-Feng Yin
2020	J	`jnl`	Kaczmarz-type inner-iteration preconditioned flexible GMRES methods for consistent linear systems. CoRR Yi-Shu Du, Ken Hayami, Ning Zheng, Keiichi Morikuni, Jun-Feng Yin
2020	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2020	J	`jnl`	Projection method for partial eigenproblems of linear matrix pencils. CoRR Keiichi Morikuni
2020	J	`jnl`	Shifted Lanczos method for quadratic forms with Hermitian matrix resolvents. CoRR Keiichi Morikuni
2020	J	`jnl`	Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. J. Comput. Appl. Math. Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
2019	J	`jnl`	Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning. Comput. Optim. Appl. Yiran Cui, Keiichi Morikuni, Takashi Tsuchiya, Ken Hayami
2019	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. CoRR Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2018	J	`jnl`	On GMRES for Singular EP and GP Systems. SIAM J. Matrix Anal. Appl. Keiichi Morikuni, Miroslav Rozlozník
2018	A*	`conf`	Spectral Feature Scaling Method for Supervised Dimensionality Reduction. IJCAI Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
2018	J	`jnl`	Spectral feature scaling method for supervised dimensionality reduction. CoRR Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
2017	J	`jnl`	Multistep matrix splitting iteration preconditioning for singular linear systems. Numer. Algorithms Keiichi Morikuni
2015	J	`jnl`	Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems. SIAM J. Matrix Anal. Appl. Keiichi Morikuni, Ken Hayami
2013	J	`jnl`	Inner-Iteration Krylov Subspace Methods for Least Squares Problems. SIAM J. Matrix Anal. Appl. Keiichi Morikuni, Ken Hayami