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Ming Zhou 0007
Person information
- affiliation: University of Rostock, Department of Mathematics, Rostock, Germany
Other persons with the same name
- Ming Zhou — disambiguation page
- Ming Zhou 0001 — langboat.com, Beijing, China (and 3 more)
- Ming Zhou 0002 — Bristol-Myers Squibb, Global Biometric Sciences, New York City, NY, USA (and 1 more)
- Ming Zhou 0003 — Northeast Normal University, Department of Chemistry, Changchun, Jilin, China
- Ming Zhou 0004 — Tsinghua University, Beijing, China (and 1 more)
- Ming Zhou 0005 — Tsinghua University, School of Aerospace Engineering, Beijing, China (and 1 more)
- Ming Zhou 0006 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
- Ming Zhou 0008 — North China Electric Power University, School of Electrical and Electronic Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China
- Ming Zhou 0009 — Shenzhen University, College of Management, Shenzhen, China (and 2 more)
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2020 – today
- 2023
- [j8]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) - [j7]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
- [j6]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
- [j5]Ming Zhou:
Convergence estimates of nonrestarted and restarted block-Lanczos methods. Numer. Linear Algebra Appl. 25(5) (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
- [j4]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
- [j3]Klaus Neymeyr, Ming Zhou:
Convergence Analysis of Restarted Krylov Subspace Eigensolvers. SIAM J. Matrix Anal. Appl. 37(3): 955-975 (2016) - 2014
- [j2]Klaus Neymeyr, Ming Zhou:
Iterative minimization of the Rayleigh quotient by block steepest descent iterations. Numer. Linear Algebra Appl. 21(5): 604-617 (2014) - 2011
- [j1]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)
Coauthor Index
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