Kensuke Aishima

Orcid: 0000-0002-5571-7629

According to our database1, Kensuke Aishima authored at least 16 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

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

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

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

Iterative refinement for singular value decomposition based on matrix multiplication.
J. Comput. Appl. Math., 2020

A quadratically convergent algorithm for inverse generalized eigenvalue problems.
J. Comput. Appl. Math., 2020

2018
Extension of an error analysis of the randomized Kaczmarz method for inconsistent linear systems.
JSIAM Lett., 2018

2017
On convergence of iterative projection methods for symmetric eigenvalue problems.
J. Comput. Appl. Math., 2017

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

Orthogonal polynomial approach to estimation of poles of rational functions from data on open curves.
J. Comput. Appl. Math., 2015

2014
A shift strategy for superquadratic convergence in the dqds algorithm for singular values.
J. Comput. Appl. Math., 2014

2012
dqds with Aggressive Early Deflation.
SIAM J. Matrix Anal. Appl., 2012

A Wilkinson-like multishift QR algorithm for symmetric eigenvalue problems and its global convergence.
J. Comput. Appl. Math., 2012

2010
Superquadratic convergence of DLASQ for computing matrix singular values.
J. Comput. Appl. Math., 2010

2008
On Convergence of the DQDS Algorithm for Singular Value Computation.
SIAM J. Matrix Anal. Appl., 2008


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