Andrew V. Knyazev

Orcid: 0000-0002-1635-3711

Affiliations:
  • University of Colorado, Denver, USA


According to our database1, Andrew V. Knyazev authored at least 52 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Sharp Majorization-Type Cluster Robust Bounds for Block Filters and Eigensolvers.
SIAM J. Matrix Anal. Appl., December, 2023

2022
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers.
CoRR, 2022

Majorization-type cluster robust bounds for block filters and eigensolvers.
CoRR, 2022

2018
On spectral partitioning of signed graphs.
Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing, 2018

Investigation of Spectral Clustering for Signed Graph Matrix Representations.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Block Structured Preconditioning within an Active-Set Method for Real-Time Optimal Control.
Proceedings of the 16th European Control Conference, 2018

A regularized Newton solver for linear model predictive control.
Proceedings of the 16th European Control Conference, 2018

2017
Rayleigh-Ritz Majorization Error Bounds of Mixed Type.
SIAM J. Matrix Anal. Appl., 2017

Convergence Theory for Preconditioned Eigenvalue Solvers in a Nutshell.
Found. Comput. Math., 2017

Recent implementations, applications, and extensions of the Locally Optimal Block Preconditioned Conjugate Gradient method (LOBPCG).
CoRR, 2017

Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge.
CoRR, 2017

Signal reconstruction via operator guiding.
CoRR, 2017

Guided Signal Reconstruction Theory.
CoRR, 2017

Signed Laplacian for spectral clustering revisited.
CoRR, 2017

Preconditioned spectral clustering for stochastic block partition streaming graph challenge (Preliminary version at arXiv.).
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Least squares dynamics in Newton-Krylov Model Predictive Control.
Proceedings of the 2017 American Control Conference, 2017

2016
Multi-exponential Lifetime Extraction in Time-Logarithmic Scale.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

Accelerated Graph-based Nonlinear Denoising Filters.
Proceedings of the International Conference on Computational Science 2016, 2016

Degeneracy in maximal clique decomposition for Semidefinite Programs.
Proceedings of the 2016 American Control Conference, 2016

Sparse preconditioning for model predictive control.
Proceedings of the 2016 American Control Conference, 2016

2015
Preconditioned Locally Harmonic Residual Method for Computing Interior Eigenpairs of Certain Classes of Hermitian Matrices.
SIAM J. Sci. Comput., 2015

Accelerated non-linear denoising filters.
CoRR, 2015

Preconditioning for continuation model predictive control.
CoRR, 2015

Efficient particle continuation model predictive control.
CoRR, 2015

Continuation model predictive control on smooth manifolds.
CoRR, 2015

Preconditioned Continuation Model Predictive Control.
Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

Accelerated graph-based spectral polynomial filters.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Nonsymmetric Preconditioning for Conjugate Gradient and Steepest Descent Methods<sup>1</sup>.
Proceedings of the International Conference on Computational Science, 2015

Conjugate gradient acceleration of non-linear smoothing filters.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Edge-enhancing filters with negative weights.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Guided signal reconstruction with application to image magnification.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Explicit model predictive control accuracy analysis.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Chebyshev and conjugate gradient filters for graph image denoising.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

2013
Absolute Value Preconditioning for Symmetric Indefinite Linear Systems.
SIAM J. Sci. Comput., 2013

Bounds for the Rayleigh Quotient and the Spectrum of Self-Adjoint Operators.
SIAM J. Matrix Anal. Appl., 2013

Angles between subspaces and their tangents.
J. Num. Math., 2013

2012
Nonsymmetric multigrid preconditioning for conjugate gradient methods
CoRR, 2012

2009
Gradient Flow Approach to Geometric Convergence Analysis of Preconditioned Eigensolvers.
SIAM J. Matrix Anal. Appl., 2009

Rayleigh-Ritz Majorization Error Bounds with Applications to FEM.
SIAM J. Matrix Anal. Appl., 2009

2008
Bounds on Changes in Ritz Values for a Perturbed Invariant Subspace of a Hermitian Matrix.
SIAM J. Matrix Anal. Appl., 2008

2007
Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) in Hypre and PETSc.
SIAM J. Sci. Comput., 2007

Steepest Descent and Conjugate Gradient Methods with Variable Preconditioning.
SIAM J. Matrix Anal. Appl., 2007

2006
New A Priori FEM Error Estimates for Eigenvalues.
SIAM J. Numer. Anal., 2006

Majorization for Changes in Angles Between Subspaces, Ritz Values, and Graph Laplacian Spectra.
SIAM J. Matrix Anal. Appl., 2006

2005
Towards a Dynamic Data Driven Application System for Wildfire Simulation.
Proceedings of the Computational Science, 2005

2003
Lavrentiev regularization + Ritz approximation = uniform finite element error estimates for differential equations with rough coefficients.
Math. Comput., 2003

Analysis of transmission problems on Lipschitz boundaries in stronger norms.
J. Num. Math., 2003

2002
Principal Angles between Subspaces in an <i>A</i>-Based Scalar Product: Algorithms and Perturbation Estimates.
SIAM J. Sci. Comput., 2002

2001
Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method.
SIAM J. Sci. Comput., 2001

2000
Preconditioning Techniques.
Proceedings of the Templates for the Solution of Algebraic Eigenvalue Problems, 2000

1997
New estimates for Ritz vectors.
Math. Comput., 1997

1996
A subspace preconditioning algorithm for eigenvector/eigenvalue computation.
Adv. Comput. Math., 1996


  Loading...