Klaus Neymeyr

According to our database, Klaus Neymeyr authored at least 19 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Sharp Majorization-Type Cluster Robust Bounds for Block Filters and Eigensolvers.

Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr

SIAM J. Matrix Anal. Appl., December, 2023

Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation.

Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr

Numer. Linear Algebra Appl., October, 2023

2022

Angle-free cluster robust Ritz value bounds for restarted block eigensolvers.

Ming Zhou, Andrew V. Knyazev, Klaus Neymeyr

CoRR, 2022

Convergence rates of individual Ritz values in block preconditioned gradient-type eigensolvers.

Ming Zhou, Klaus Neymeyr

CoRR, 2022

Majorization-type cluster robust bounds for block filters and eigensolvers.

Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr

CoRR, 2022

2019

Cluster robust estimates for block gradient-type eigensolvers.

Ming Zhou, Klaus Neymeyr

Math. Comput., 2019

Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization.

Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On the Set of Solutions of the Nonnegative Matrix Factorization Problem.

Klaus Neymeyr, Mathias Sawall

SIAM J. Matrix Anal. Appl., 2018

Towards a Theoretical Understanding of Batch Normalization.

Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Ming Zhou, Klaus Neymeyr, Thomas Hofmann

CoRR, 2018

2017

Convergence Theory for Preconditioned Eigenvalue Solvers in a Nutshell.

Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou

Found. Comput. Math., 2017

2016

Convergence Analysis of Restarted Krylov Subspace Eigensolvers.

Klaus Neymeyr, Ming Zhou

SIAM J. Matrix Anal. Appl., 2016

2014

Iterative minimization of the Rayleigh quotient by block steepest descent iterations.

Klaus Neymeyr, Ming Zhou

Numer. Linear Algebra Appl., 2014

2012

A Geometric Convergence Theory for the Preconditioned Steepest Descent Iteration.

Klaus Neymeyr

SIAM J. Numer. Anal., 2012

2011

Convergence Analysis of Gradient Iterations for the Symmetric Eigenvalue Problem.

Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou

SIAM J. Matrix Anal. Appl., 2011

2009

Gradient Flow Approach to Geometric Convergence Analysis of Preconditioned Eigensolvers.

Andrew V. Knyazev, Klaus Neymeyr

SIAM J. Matrix Anal. Appl., 2009

2005

A note on Inverse Iteration.

Klaus Neymeyr

Numer. Linear Algebra Appl., 2005

2002

Multilevel Method for Mixed Eigenproblems.

Ralf Hiptmair, Klaus Neymeyr

SIAM J. Sci. Comput., 2002

<i>A posteriori</i> error estimation for elliptic eigenproblems.

Klaus Neymeyr

Numer. Linear Algebra Appl., 2002

A geometric theory for preconditioned inverse iteration applied to a subspace.

Klaus Neymeyr

Math. Comput., 2002