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2020 – today
- 2023
[j14]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)- [j13]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): 1852-1878 (2023) - 2022
- [i5]Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr:
Majorization-type cluster robust bounds for block filters and eigensolvers. CoRR abs/2201.04517 (2022) - [i4]Ming Zhou, Klaus Neymeyr:
Convergence rates of individual Ritz values in block preconditioned gradient-type eigensolvers. CoRR abs/2206.00585 (2022) - [i3]Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr:
Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation. CoRR abs/2209.03407 (2022) - [i2]Ming Zhou, Andrew V. Knyazev, Klaus Neymeyr:
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers. CoRR abs/2211.01499 (2022)
2010 – 2019
- 2019
- [j12]Ming Zhou, Klaus Neymeyr:
Cluster robust estimates for block gradient-type eigensolvers. Math. Comput. 88(320): 2737-2765 (2019) - [c1]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: 806-815 - 2018
- [j11]Klaus Neymeyr, Mathias Sawall:
On the Set of Solutions of the Nonnegative Matrix Factorization Problem. SIAM J. Matrix Anal. Appl. 39(2): 1049-1069 (2018) - [i1]Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Ming Zhou, Klaus Neymeyr, Thomas Hofmann:
Towards a Theoretical Understanding of Batch Normalization. CoRR abs/1805.10694 (2018) - 2017
- [j10]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): 713-727 (2017) - 2016
- [j9]Klaus Neymeyr, Ming Zhou:
Convergence Analysis of Restarted Krylov Subspace Eigensolvers. SIAM J. Matrix Anal. Appl. 37(3): 955-975 (2016) - 2014
- [j8]Klaus Neymeyr, Ming Zhou:
Iterative minimization of the Rayleigh quotient by block steepest descent iterations. Numer. Linear Algebra Appl. 21(5): 604-617 (2014) - 2012
- [j7]Klaus Neymeyr:
A Geometric Convergence Theory for the Preconditioned Steepest Descent Iteration. SIAM J. Numer. Anal. 50(6): 3188-3207 (2012) - 2011
- [j6]Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou:
Convergence Analysis of Gradient Iterations for the Symmetric Eigenvalue Problem. SIAM J. Matrix Anal. Appl. 32(2): 443-456 (2011)
2000 – 2009
- 2009
- [j5]Andrew V. Knyazev, Klaus Neymeyr:
Gradient Flow Approach to Geometric Convergence Analysis of Preconditioned Eigensolvers. SIAM J. Matrix Anal. Appl. 31(2): 621-628 (2009) - 2005
- [j4]Klaus Neymeyr:
A note on Inverse Iteration. Numer. Linear Algebra Appl. 12(1): 1-8 (2005) - 2002
- [j3]Klaus Neymeyr:
A geometric theory for preconditioned inverse iteration applied to a subspace. Math. Comput. 71(237): 197-216 (2002) - [j2]Klaus Neymeyr:
A posteriori error estimation for elliptic eigenproblems. Numer. Linear Algebra Appl. 9(4): 263-279 (2002) - [j1]Ralf Hiptmair, Klaus Neymeyr:
Multilevel Method for Mixed Eigenproblems. SIAM J. Sci. Comput. 23(6): 2141-2164 (2002)
Coauthor Index
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