Inner-Iteration Krylov Subspace Methods for Least Squares Problems. - Keiichi Morikuni; Ken Hayami (SIAM J. Matrix Anal. Appl., 2013)

Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems. - Keiichi Morikuni; Ken Hayami (SIAM J. Matrix Anal. Appl., 2015)

Multistep matrix splitting iteration preconditioning for singular linear systems. - Keiichi Morikuni (Numer. Algorithms, 2017)

Spectral Feature Scaling Method for Supervised Dimensionality Reduction. - Momo Matsuda; Keiichi Morikuni; Tetsuya Sakurai (IJCAI, 2018)

On GMRES for Singular EP and GP Systems. - Keiichi Morikuni; Miroslav Rozlozník (SIAM J. Matrix Anal. Appl., 2018)

Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning. - Yiran Cui; Keiichi Morikuni; Takashi Tsuchiya; Ken Hayami (Comput. Optim. Appl., 2019)

Shifted Lanczos method for quadratic forms with Hermitian matrix resolvents. - Keiichi Morikuni (CoRR, 2020)

Projection method for partial eigenproblems of linear matrix pencils. - Keiichi Morikuni (CoRR, 2020)

A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems. - Zeyu Liao; Ken Hayami; Keiichi Morikuni; Jun-Feng Yin (CoRR, 2020)

Multiclass spectral feature scaling method for dimensionality reduction. - Momo Matsuda; Keiichi Morikuni; Akira Imakura; Xiucai Ye; Tetsuya Sakurai (Intell. Data Anal., 2020)

Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems. - Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu (J. Comput. Appl. Math., 2020)

Online Spectral Classification for Long-Term Spike Sorting. - Kotaro Sakamoto; Keiichi Morikuni; Tetsuya Sakurai; Sumire Matsumoto; Kaspar Vogt (ICMHI, 2021)

Projection Method for Eigenvalue Problems of Linear Nonsquare Matrix Pencils. - Keiichi Morikuni (SIAM J. Matrix Anal. Appl., 2021)

Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems. - Yi-Shu Du; Ken Hayami; Ning Zheng; Keiichi Morikuni; Jun-Feng Yin (SIAM J. Sci. Comput., 2021)

GMRES methods for tomographic reconstruction with an unmatched back projector. - Per Christian Hansen; Ken Hayami; Keiichi Morikuni (J. Comput. Appl. Math., 2022)

Cross-Interactive Residual Smoothing for Global and Block Lanczos-Type Solvers for Linear Systems with Multiple Right-Hand Sides. - Kensuke Aihara; Akira Imakura; Keiichi Morikuni (SIAM J. Matrix Anal. Appl., 2022)

Error estimate for regularized optimal transport problems via Bregman divergence. - Keiichi Morikuni; Koya Sakakibara; Asuka Takatsu (CoRR, 2023)

Recent advances in the numerical solution of matrix problems. - Ken Hayami; Keiichi Morikuni; Lothar Reichel; Ning Zheng (J. Comput. Appl. Math., 2023)

Complex moment-based methods for differential eigenvalue problems. - Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu (Numer. Algorithms, 2023)

Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems. - Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu (J. Comput. Appl. Math., 2023)

Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides. - Kensuke Aihara; Akira Imakura; Keiichi Morikuni (CoRR, 2024)