On Convergence of the DQDS Algorithm for Singular Value Computation. - Kensuke Aishima; Takayasu Matsuo; Kazuo Murota; Masaaki Sugihara (SIAM J. Matrix Anal. Appl., 2008)

Superquadratic convergence of DLASQ for computing matrix singular values. - Kensuke Aishima; Takayasu Matsuo; Kazuo Murota; Masaaki Sugihara (J. Comput. Appl. Math., 2010)

A Wilkinson-like multishift QR algorithm for symmetric eigenvalue problems and its global convergence. - Kensuke Aishima; Takayasu Matsuo; Kazuo Murota; Masaaki Sugihara (J. Comput. Appl. Math., 2012)

dqds with Aggressive Early Deflation. - Yuji Nakatsukasa; Kensuke Aishima; Ichitaro Yamazaki (SIAM J. Matrix Anal. Appl., 2012)

A shift strategy for superquadratic convergence in the dqds algorithm for singular values. - Kensuke Aishima; Takayasu Matsuo; Kazuo Murota; Masaaki Sugihara (J. Comput. Appl. Math., 2014)

Orthogonal polynomial approach to estimation of poles of rational functions from data on open curves. - Shinji Ito; Kensuke Aishima; Takaaki Nara; Masaaki Sugihara (J. Comput. Appl. Math., 2015)

Global convergence of the restarted Lanczos and Jacobi-Davidson methods for symmetric eigenvalue problems. - Kensuke Aishima (Numerische Mathematik, 2015)

On convergence of iterative projection methods for symmetric eigenvalue problems. - Kensuke Aishima (J. Comput. Appl. Math., 2017)

Extension of an error analysis of the randomized Kaczmarz method for inconsistent linear systems. - Yushi Morijiri; Kensuke Aishima; Takayasu Matsuo (JSIAM Lett., 2018)

A quadratically convergent algorithm for inverse generalized eigenvalue problems. - Kensuke Aishima (J. Comput. Appl. Math., 2020)

Iterative refinement for singular value decomposition based on matrix multiplication. - Takeshi Ogita; Kensuke Aishima (J. Comput. Appl. Math., 2020)

Strong convergence for the dynamic mode decomposition based on the total least squares to noisy datasets. - Kensuke Aishima (JSIAM Lett., 2020)

Consistent estimation for an errors-in-variables model based on constrained total least squares problems. - Kensuke Aishima (JSIAM Lett., 2022)

Consistent estimation with the use of orthogonal projections for a linear regression model with errors in the variables. - Kensuke Aishima (CoRR, 2023)

Strong consistency of an estimator by the truncated singular value decomposition for an errors-in-variables regression model with collinearity. - Kensuke Aishima (CoRR, 2023)

Statistical modeling and an adaptive averaging technique for strong convergence of the dynamic mode decomposition. - Kensuke Aishima (J. Comput. Appl. Math., 2023)