Keiichi Morikuni

According to our database, Keiichi Morikuni authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., May, 2023

Complex moment-based methods for differential eigenvalue problems.

Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu

Numer. Algorithms, January, 2023

Recent advances in the numerical solution of matrix problems.

Ken Hayami, Keiichi Morikuni, Lothar Reichel, Ning Zheng

J. Comput. Appl. Math., 2023

Error estimate for regularized optimal transport problems via Bregman divergence.

Keiichi Morikuni, Koya Sakakibara, Asuka Takatsu

CoRR, 2023

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., September, 2022

GMRES methods for tomographic reconstruction with an unmatched back projector.

Per Christian Hansen, Ken Hayami, Keiichi Morikuni

J. Comput. Appl. Math., 2022

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

Projection Method for Eigenvalue Problems of Linear Nonsquare Matrix Pencils.

Keiichi Morikuni

SIAM J. Matrix Anal. Appl., 2021

Online Spectral Classification for Long-Term Spike Sorting.

Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt

Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

2020

Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems.

Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu

J. Comput. Appl. Math., 2020

Multiclass spectral feature scaling method for dimensionality reduction.

Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai

Intell. Data Anal., 2020

A Stabilized GMRES Method for Solving Underdetermined Least Squares Problems.

Zeyu Liao, Ken Hayami, Keiichi Morikuni, Jun-Feng Yin

CoRR, 2020

Projection method for partial eigenproblems of linear matrix pencils.

Keiichi Morikuni

CoRR, 2020

Shifted Lanczos method for quadratic forms with Hermitian matrix resolvents.

Keiichi Morikuni

CoRR, 2020

2019

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

2018

On GMRES for Singular EP and GP Systems.

Keiichi Morikuni, Miroslav Rozlozník

SIAM J. Matrix Anal. Appl., 2018

Spectral Feature Scaling Method for Supervised Dimensionality Reduction.

Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Multistep matrix splitting iteration preconditioning for singular linear systems.

Keiichi Morikuni

Numer. Algorithms, 2017

2015

Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems.

Keiichi Morikuni, Ken Hayami

SIAM J. Matrix Anal. Appl., 2015

2013

Inner-Iteration Krylov Subspace Methods for Least Squares Problems.

Keiichi Morikuni, Ken Hayami

SIAM J. Matrix Anal. Appl., 2013