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ORCIDKeiichi Morikuni
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2020 – today
- 2023
[j14]Akira Imakura
, Keiichi Morikuni, Akitoshi Takayasu:
Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. J. Comput. Appl. Math. 424: 114994 (2023)- [j13]Ken Hayami, Keiichi Morikuni, Lothar Reichel, Ning Zheng:
Recent advances in the numerical solution of matrix problems. J. Comput. Appl. Math. 430: 115239 (2023) - [j12]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Complex moment-based methods for differential eigenvalue problems. Numer. Algorithms 92(1): 693-721 (2023) - [i11]Keiichi Morikuni, Koya Sakakibara, Asuka Takatsu:
Error estimate for regularized optimal transport problems via Bregman divergence. CoRR abs/2309.11666 (2023) - 2022
- [j11]Per Christian Hansen, Ken Hayami, Keiichi Morikuni:
GMRES methods for tomographic reconstruction with an unmatched back projector. J. Comput. Appl. Math. 413: 114352 (2022) - [j10]Kensuke Aihara, Akira Imakura, Keiichi Morikuni:
Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. SIAM J. Matrix Anal. Appl. 43(3): 1308-1330 (2022) - [i10]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Complex moment-based methods for differential eigenvalue problems. CoRR abs/2205.00971 (2022) - 2021
- [j9]Keiichi Morikuni:
Projection Method for Eigenvalue Problems of Linear Nonsquare Matrix Pencils. SIAM J. Matrix Anal. Appl. 42(3): 1381-1400 (2021) - [j8]Yi-Shu Du, Ken Hayami, Ning Zheng, Keiichi Morikuni, Jun-Feng Yin:
Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems. SIAM J. Sci. Comput. 43(5): S345-S366 (2021) - [c2]Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt:
Online Spectral Classification for Long-Term Spike Sorting. ICMHI 2021: 89-97 - [i9]Kensuke Aihara, Akira Imakura, Keiichi Morikuni:
Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides. CoRR abs/2106.00284 (2021) - [i8]Per Christian Hansen, Ken Hayami, Keiichi Morikuni:
GMRES Methods for Tomographic Reconstruction with an Unmatched Back Projector. CoRR abs/2110.01481 (2021) - [i7]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. CoRR abs/2110.01822 (2021) - 2020
- [j7]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24(6): 1273-1287 (2020) - [j6]Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. J. Comput. Appl. Math. 369 (2020) - [i6]Keiichi Morikuni:
Shifted Lanczos method for quadratic forms with Hermitian matrix resolvents. CoRR abs/2002.06738 (2020) - [i5]Yi-Shu Du, Ken Hayami, Ning Zheng, Keiichi Morikuni, Jun-Feng Yin:
Kaczmarz-type inner-iteration preconditioned flexible GMRES methods for consistent linear systems. CoRR abs/2006.10818 (2020) - [i4]Keiichi Morikuni:
Projection method for partial eigenproblems of linear matrix pencils. CoRR abs/2007.01183 (2020) - [i3]Zeyu Liao, Ken Hayami, Keiichi Morikuni, Jun-Feng Yin:
A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. CoRR abs/2007.10853 (2020)
2010 – 2019
- 2019
- [j5]Yiran Cui, Keiichi Morikuni, Takashi Tsuchiya, Ken Hayami:
Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning. Comput. Optim. Appl. 74(1): 143-176 (2019) - [i2]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. CoRR abs/1910.07174 (2019) - 2018
- [j4]Keiichi Morikuni, Miroslav Rozlozník:
On GMRES for Singular EP and GP Systems. SIAM J. Matrix Anal. Appl. 39(2): 1033-1048 (2018) - [c1]Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai:
Spectral Feature Scaling Method for Supervised Dimensionality Reduction. IJCAI 2018: 2560-2566 - [i1]Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai:
Spectral feature scaling method for supervised dimensionality reduction. CoRR abs/1805.07006 (2018) - 2017
- [j3]Keiichi Morikuni:
Multistep matrix splitting iteration preconditioning for singular linear systems. Numer. Algorithms 75(2): 457-475 (2017) - 2015
- [j2]Keiichi Morikuni, Ken Hayami:
Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems. SIAM J. Matrix Anal. Appl. 36(1): 225-250 (2015) - 2013
- [j1]Keiichi Morikuni, Ken Hayami:
Inner-Iteration Krylov Subspace Methods for Least Squares Problems. SIAM J. Matrix Anal. Appl. 34(1): 1-22 (2013)
Coauthor Index
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