Keiichi Morikuni

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 25

Top Topics

Totally Unimodular

Polynomial Equations

Eigenvalue Problems

Top Venues

SIAM J. Matrix Anal. Appl.

J. Comput. Appl. Math.

Numer. Algorithms

Publications

Ken Hayami, Keiichi Morikuni, Lothar Reichel, Ning Zheng
Recent advances in the numerical solution of matrix problems. J. Comput. Appl. Math. 430 (2023)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Complex moment-based methods for differential eigenvalue problems. Numer. Algorithms 92 (1) (2023)
Keiichi Morikuni, Koya Sakakibara, Asuka Takatsu
Error estimate for regularized optimal transport problems via Bregman divergence. CoRR (2023)
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 (2023)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Complex moment-based methods for differential eigenvalue problems. CoRR (2022)
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) (2022)
Per Christian Hansen, Ken Hayami, Keiichi Morikuni
GMRES methods for tomographic reconstruction with an unmatched back projector. J. Comput. Appl. Math. 413 (2022)
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 (2021)
Per Christian Hansen, Ken Hayami, Keiichi Morikuni
GMRES Methods for Tomographic Reconstruction with an Unmatched Back Projector. CoRR (2021)
Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt
Online Spectral Classification for Long-Term Spike Sorting. ICMHI (2021)
Keiichi Morikuni
Projection Method for Eigenvalue Problems of Linear Nonsquare Matrix Pencils. SIAM J. Matrix Anal. Appl. 42 (3) (2021)
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 (2021)
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) (2021)
Keiichi Morikuni
Shifted Lanczos method for quadratic forms with Hermitian matrix resolvents. CoRR (2020)
Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu
Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. J. Comput. Appl. Math. 369 (2020)
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 (2020)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24 (6) (2020)
Keiichi Morikuni
Projection method for partial eigenproblems of linear matrix pencils. CoRR (2020)
Zeyu Liao, Ken Hayami, Keiichi Morikuni, Jun-Feng Yin
A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. CoRR (2020)
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) (2019)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. CoRR (2019)
Keiichi Morikuni, Miroslav Rozlozník
On GMRES for Singular EP and GP Systems. SIAM J. Matrix Anal. Appl. 39 (2) (2018)
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Spectral feature scaling method for supervised dimensionality reduction. CoRR (2018)
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Spectral Feature Scaling Method for Supervised Dimensionality Reduction. IJCAI (2018)
Keiichi Morikuni
Multistep matrix splitting iteration preconditioning for singular linear systems. Numer. Algorithms 75 (2) (2017)
Keiichi Morikuni, Ken Hayami
Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems. SIAM J. Matrix Anal. Appl. 36 (1) (2015)
Keiichi Morikuni, Ken Hayami
Inner-Iteration Krylov Subspace Methods for Least Squares Problems. SIAM J. Matrix Anal. Appl. 34 (1) (2013)