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Andrew V. Knyazev
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- affiliation: University of Colorado, Denver, USA
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2020 – today
- 2023
- [j20]Ming Zhou
, Merico E. Argentati, Andrew V. Knyazev
Sharp Majorization-Type Cluster Robust Bounds for Block Filters and Eigensolvers. SIAM J. Matrix Anal. Appl. 44(4): 1852-1878 (2023) - 2022
- [i20]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) - [i19]Ming Zhou
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers. CoRR abs/2211.01499 (2022)
2010 – 2019
- 2018
- [c19]Rien Quirynen, Andrew V. Knyazev, Stefano Di Cairano:
Block Structured Preconditioning within an Active-Set Method for Real-Time Optimal Control. ECC 2018: 1154-1159 - [c18]Alexander Malyshev, Rien Quirynen, Andrew Knyazev, Stefano Di Cairano:
A regularized Newton solver for linear model predictive control. ECC 2018: 1393-1398 - [c17]Alyson Fox
Investigation of Spectral Clustering for Signed Graph Matrix Representations. HPEC 2018: 1-7 - [c16]Andrew Knyazev:
On spectral partitioning of signed graphs. CSC 2018: 11-22 - 2017
- [j19]Merico E. Argentati, Andrew V. Knyazev
Convergence Theory for Preconditioned Eigenvalue Solvers in a Nutshell. Found. Comput. Math. 17(3): 713-727 (2017) - [j18]Peizhen Zhu, Andrew V. Knyazev:
Rayleigh-Ritz Majorization Error Bounds of Mixed Type. SIAM J. Matrix Anal. Appl. 38(1): 30-49 (2017) - [c15]Andrew Knyazev, Alexander Malyshev:
Least squares dynamics in Newton-Krylov Model Predictive Control. ACC 2017: 5045-5050 - [c14]David Zhuzhunashvili, Andrew Knyazev:
Preconditioned spectral clustering for stochastic block partition streaming graph challenge (Preliminary version at arXiv.). HPEC 2017: 1-6 - [i18]Andrew V. Knyazev:
Signed Laplacian for spectral clustering revisited. CoRR abs/1701.01394 (2017) - [i17]Andrew Knyazev, Akshay Gadde, Hassan Mansour, Dong Tian:
Guided Signal Reconstruction Theory. CoRR abs/1702.00852 (2017) - [i16]Andrew Knyazev, Alexander Malyshev:
Signal reconstruction via operator guiding. CoRR abs/1705.03493 (2017) - [i15]David Zhuzhunashvili, Andrew Knyazev:
Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge. CoRR abs/1708.07481 (2017) - [i14]Andrew Knyazev:
Recent implementations, applications, and extensions of the Locally Optimal Block Preconditioned Conjugate Gradient method (LOBPCG). CoRR abs/1708.08354 (2017) - 2016
- [c13]Andrew Knyazev, Alexander Malyshev:
Sparse preconditioning for model predictive control. ACC 2016: 4494-4499 - [c12]Arvind U. Raghunathan, Andrew V. Knyazev:
Degeneracy in maximal clique decomposition for Semidefinite Programs. ACC 2016: 5605-5611 - [c11]Andrew Knyazev, Alexander Malyshev:
Accelerated Graph-based Nonlinear Denoising Filters. ICCS 2016: 607-616 - [c10]Andrew V. Knyazev, Qun Gao, Koon Hoo Teo:
Multi-exponential Lifetime Extraction in Time-Logarithmic Scale. ICDM 2016: 282-296 - 2015
- [j17]Eugene Vecharynski, Andrew V. Knyazev
Preconditioned Locally Harmonic Residual Method for Computing Interior Eigenpairs of Certain Classes of Hermitian Matrices. SIAM J. Sci. Comput. 37(5) (2015) - [c9]Andrew V. Knyazev, Peizhen Zhu, Stefano Di Cairano:
Explicit model predictive control accuracy analysis. CDC 2015: 2389-2394 - [c8]Andrew Knyazev, Alexander Malyshev:
Conjugate gradient acceleration of non-linear smoothing filters. GlobalSIP 2015: 245-249 - [c7]Andrew Knyazev:
Edge-enhancing filters with negative weights. GlobalSIP 2015: 260-264 - [c6]Akshay Gadde, Andrew Knyazev, Dong Tian
Guided signal reconstruction with application to image magnification. GlobalSIP 2015: 938-942 - [c5]Henricus Bouwmeester, Andrew Dougherty, Andrew V. Knyazev
Nonsymmetric Preconditioning for Conjugate Gradient and Steepest Descent Methods1. ICCS 2015: 276-285 - [c4]Andrew Knyazev
Accelerated graph-based spectral polynomial filters. MLSP 2015: 1-6 - [c3]Andrew Knyazev
Preconditioned Continuation Model Predictive Control. SIAM Conf. on Control and its Applications 2015: 101-108 - [i13]Andrew Knyazev, Alexander Malyshev:
Conjugate Gradient Acceleration of Non-Linear Smoothing Filters. CoRR abs/1509.01514 (2015) - [i12]Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro:
Chebyshev and Conjugate Gradient Filters for Graph Image Denoising. CoRR abs/1509.01624 (2015) - [i11]Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour:
Guided Signal Reconstruction with Application to Image Magnification. CoRR abs/1509.02465 (2015) - [i10]Andrew Knyazev, Alexander Malyshev:
Accelerated graph-based spectral polynomial filters. CoRR abs/1509.02468 (2015) - [i9]Andrew Knyazev:
Edge-enhancing Filters with Negative Weights. CoRR abs/1509.02491 (2015) - [i8]Andrew V. Knyazev, Peizhen Zhu, Stefano Di Cairano:
Explicit model predictive control accuracy analysis. CoRR abs/1509.02840 (2015) - [i7]Andrew Knyazev, Alexander Malyshev:
Continuation model predictive control on smooth manifolds. CoRR abs/1509.02848 (2015) - [i6]Andrew Knyazev, Alexander Malyshev:
Efficient particle continuation model predictive control. CoRR abs/1509.02852 (2015) - [i5]Andrew Knyazev, Alexander Malyshev:
Preconditioning for continuation model predictive control. CoRR abs/1509.02861 (2015) - [i4]Andrew Knyazev, Alexander Malyshev:
Sparse preconditioning for model predictive control. CoRR abs/1512.00375 (2015) - [i3]Andrew Knyazev, Alexander Malyshev:
Accelerated non-linear denoising filters. CoRR abs/1512.00389 (2015) - 2014
- [c2]Dong Tian
Chebyshev and conjugate gradient filters for graph image denoising. ICME Workshops 2014: 1-6 - 2013
- [j16]Peizhen Zhu, Andrew V. Knyazev
Angles between subspaces and their tangents. J. Num. Math. 21(4): 325-340 (2013) - [j15]Peizhen Zhu, Merico E. Argentati, Andrew V. Knyazev
Bounds for the Rayleigh Quotient and the Spectrum of Self-Adjoint Operators. SIAM J. Matrix Anal. Appl. 34(1): 244-256 (2013) - [j14]Eugene Vecharynski, Andrew V. Knyazev
Absolute Value Preconditioning for Symmetric Indefinite Linear Systems. SIAM J. Sci. Comput. 35(2) (2013) - 2012
- [i2]Henricus Bouwmeester, Andrew Dougherty, Andrew V. Knyazev:
Nonsymmetric multigrid preconditioning for conjugate gradient methods. CoRR abs/1212.6680 (2012)
2000 – 2009
- 2009
- [j13]Andrew V. Knyazev
Gradient Flow Approach to Geometric Convergence Analysis of Preconditioned Eigensolvers. SIAM J. Matrix Anal. Appl. 31(2): 621-628 (2009) - [j12]Andrew V. Knyazev
Rayleigh-Ritz Majorization Error Bounds with Applications to FEM. SIAM J. Matrix Anal. Appl. 31(3): 1521-1537 (2009) - 2008
- [j11]Merico E. Argentati, Andrew V. Knyazev
Bounds on Changes in Ritz Values for a Perturbed Invariant Subspace of a Hermitian Matrix. SIAM J. Matrix Anal. Appl. 30(2): 548-559 (2008) - 2007
- [j10]Andrew V. Knyazev
Steepest Descent and Conjugate Gradient Methods with Variable Preconditioning. SIAM J. Matrix Anal. Appl. 29(4): 1267-1280 (2007) - [j9]Andrew V. Knyazev
Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) in Hypre and PETSc. SIAM J. Sci. Comput. 29(5): 2224-2239 (2007) - [i1]Andrew V. Knyazev, Merico E. Argentati, Ilya Lashuk, Evgueni E. Ovtchinnikov:
Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) in hypre and PETSc. CoRR abs/0705.2626 (2007) - 2006
- [j8]Andrew V. Knyazev
Majorization for Changes in Angles Between Subspaces, Ritz Values, and Graph Laplacian Spectra. SIAM J. Matrix Anal. Appl. 29(1): 15-32 (2006) - [j7]Andrew V. Knyazev
New A Priori FEM Error Estimates for Eigenvalues. SIAM J. Numer. Anal. 43(6): 2647-2667 (2006) - 2005
- [c1]Jan Mandel, Lynn S. Bennethum
Towards a Dynamic Data Driven Application System for Wildfire Simulation. International Conference on Computational Science (2) 2005: 632-639 - 2003
- [j6]Andrew V. Knyazev
Analysis of transmission problems on Lipschitz boundaries in stronger norms. J. Num. Math. 11(3): 225-234 (2003) - [j5]Andrew Knyazev
Lavrentiev regularization + Ritz approximation = uniform finite element error estimates for differential equations with rough coefficients. Math. Comput. 72(241): 17-40 (2003) - 2002
- [j4]Andrew V. Knyazev
Principal Angles between Subspaces in an A-Based Scalar Product: Algorithms and Perturbation Estimates. SIAM J. Sci. Comput. 23(6): 2008-2040 (2002) - 2001
- [j3]Andrew V. Knyazev
Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method. SIAM J. Sci. Comput. 23(2): 517-541 (2001) - 2000
- [p1]Karl Meerbergen, R. Morgan, Andrew Knyazev
Preconditioning Techniques. Templates for the Solution of Algebraic Eigenvalue Problems 2000: 337-368
1990 – 1999
- 1997
- [j2]Andrew Knyazev
New estimates for Ritz vectors. Math. Comput. 66(219): 985-995 (1997) - 1996
- [j1]James H. Bramble, Joseph E. Pasciak, Andrew V. Knyazev
A subspace preconditioning algorithm for eigenvector/eigenvalue computation. Adv. Comput. Math. 6(1): 159-189 (1996)
Coauthor Index
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