Andrew Knyazev

Publication Activity (10 Years)

Years Active: 1997-2018
Publications (10 Years): 26

Top Topics

Signal Reconstruction

Predictive Control

Top Venues

Publications

Andrew Knyazev
On spectral partitioning of signed graphs. CSC (2018)
Alyson Fox, Geoffrey Sanders, Andrew Knyazev
Investigation of Spectral Clustering for Signed Graph Matrix Representations. HPEC (2018)
Alexander Malyshev, Rien Quirynen, Andrew Knyazev, Stefano Di Cairano
A regularized Newton solver for linear model predictive control. ECC (2018)
Andrew Knyazev, Alexander Malyshev
Signal reconstruction via operator guiding. CoRR (2017)
David Zhuzhunashvili, Andrew Knyazev
Preconditioned spectral clustering for stochastic block partition streaming graph challenge (Preliminary version at arXiv.). HPEC (2017)
Andrew Knyazev
Recent implementations, applications, and extensions of the Locally Optimal Block Preconditioned Conjugate Gradient method (LOBPCG). CoRR (2017)
David Zhuzhunashvili, Andrew Knyazev
Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge. CoRR (2017)
Andrew Knyazev, Alexander Malyshev
Least squares dynamics in Newton-Krylov Model Predictive Control. ACC (2017)
Andrew Knyazev, Akshay Gadde, Hassan Mansour, Dong Tian
Guided Signal Reconstruction Theory. CoRR (2017)
Andrew Knyazev, Alexander Malyshev
Accelerated Graph-based Nonlinear Denoising Filters. ICCS (2016)
Andrew Knyazev, Alexander Malyshev
Sparse preconditioning for model predictive control. ACC (2016)
Andrew Knyazev, Yuta Fujii, Alexander Malyshev
Preconditioned Continuation Model Predictive Control. SIAM Conf. on Control and its Applications (2015)
Andrew Knyazev
Edge-enhancing Filters with Negative Weights. CoRR (2015)
Andrew Knyazev, Alexander Malyshev
Sparse preconditioning for model predictive control. CoRR (2015)
Andrew Knyazev, Alexander Malyshev
Continuation model predictive control on smooth manifolds. CoRR (2015)
Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour
Guided signal reconstruction with application to image magnification. GlobalSIP (2015)
Andrew Knyazev, Alexander Malyshev
Accelerated non-linear denoising filters. CoRR (2015)
Andrew Knyazev, Alexander Malyshev
Efficient particle continuation model predictive control. CoRR (2015)
Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour
Guided Signal Reconstruction with Application to Image Magnification. CoRR (2015)
Andrew Knyazev, Alexander Malyshev
Conjugate Gradient Acceleration of Non-Linear Smoothing Filters. CoRR (2015)
Andrew Knyazev
Edge-enhancing filters with negative weights. GlobalSIP (2015)
Andrew Knyazev, Alexander Malyshev
Conjugate gradient acceleration of non-linear smoothing filters. GlobalSIP (2015)
Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro
Chebyshev and Conjugate Gradient Filters for Graph Image Denoising. CoRR (2015)
Andrew Knyazev, Alexander Malyshev
Preconditioning for continuation model predictive control. CoRR (2015)
Andrew Knyazev, Alexander Malyshev
Accelerated graph-based spectral polynomial filters. MLSP (2015)
Andrew Knyazev, Alexander Malyshev
Accelerated graph-based spectral polynomial filters. CoRR (2015)
Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro
Chebyshev and conjugate gradient filters for graph image denoising. ICME Workshops (2014)
Andrew Knyazev, Olof B. Widlund
Lavrentiev regularization + Ritz approximation = uniform finite element error estimates for differential equations with rough coefficients. Math. Comput. 72 (241) (2003)
Andrew Knyazev
New estimates for Ritz vectors. Math. Comput. 66 (219) (1997)