Klaus Neymeyr

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 12

Top Topics

Conjugate Gradient

Negative Matrix Factorization

Reweighted Least Squares

Convergence Analysis

Top Venues

SIAM J. Matrix Anal. Appl.

Numer. Linear Algebra Appl.

Publications

Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr
Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation. Numer. Linear Algebra Appl. 30 (5) (2023)
Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr
Sharp Majorization-Type Cluster Robust Bounds for Block Filters and Eigensolvers. SIAM J. Matrix Anal. Appl. 44 (4) (2023)
Ming Zhou, Andrew V. Knyazev, Klaus Neymeyr
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers. CoRR (2022)
Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr
Majorization-type cluster robust bounds for block filters and eigensolvers. CoRR (2022)
Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr
Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation. CoRR (2022)
Ming Zhou, Klaus Neymeyr
Convergence rates of individual Ritz values in block preconditioned gradient-type eigensolvers. CoRR (2022)
Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization. AISTATS (2019)
Ming Zhou, Klaus Neymeyr
Cluster robust estimates for block gradient-type eigensolvers. Math. Comput. 88 (320) (2019)
Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Ming Zhou, Klaus Neymeyr, Thomas Hofmann
Towards a Theoretical Understanding of Batch Normalization. CoRR (2018)
Klaus Neymeyr, Mathias Sawall
On the Set of Solutions of the Nonnegative Matrix Factorization Problem. SIAM J. Matrix Anal. Appl. 39 (2) (2018)
Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou
Convergence Theory for Preconditioned Eigenvalue Solvers in a Nutshell. Found. Comput. Math. 17 (3) (2017)
Klaus Neymeyr, Ming Zhou
Convergence Analysis of Restarted Krylov Subspace Eigensolvers. SIAM J. Matrix Anal. Appl. 37 (3) (2016)
Klaus Neymeyr, Ming Zhou
Iterative minimization of the Rayleigh quotient by block steepest descent iterations. Numer. Linear Algebra Appl. 21 (5) (2014)
Klaus Neymeyr
A Geometric Convergence Theory for the Preconditioned Steepest Descent Iteration. SIAM J. Numer. Anal. 50 (6) (2012)
Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou
Convergence Analysis of Gradient Iterations for the Symmetric Eigenvalue Problem. SIAM J. Matrix Anal. Appl. 32 (2) (2011)
Andrew V. Knyazev, Klaus Neymeyr
Gradient Flow Approach to Geometric Convergence Analysis of Preconditioned Eigensolvers. SIAM J. Matrix Anal. Appl. 31 (2) (2009)
Klaus Neymeyr
A note on Inverse Iteration. Numer. Linear Algebra Appl. 12 (1) (2005)
Klaus Neymeyr
A geometric theory for preconditioned inverse iteration applied to a subspace. Math. Comput. 71 (237) (2002)
Ralf Hiptmair, Klaus Neymeyr
Multilevel Method for Mixed Eigenproblems. SIAM J. Sci. Comput. 23 (6) (2002)
Klaus Neymeyr
error estimation for elliptic eigenproblems. Numer. Linear Algebra Appl. 9 (4) (2002)