activity
20062022
most citedBlock Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) in hypre and PETSc

86 citations · 532 across the 35 of their papers we have counts for

collaborators
Showing 2017Show all

7 papers · 1 filter

math.NA2017

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

Andrew Knyazev

Since introduction [A. Knyazev, Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method, SISC (2001) DOI:10.1137/S106482750036…

cs.MS2017★ 16 cited

Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge

David Zhuzhunashvili, Andrew Knyazev

Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) is demonstrated to efficiently solve eigenvalue problems for graph Laplacians that appear in spectral clustering. F…

cs.CV2017★ 1 cited

Signal reconstruction via operator guiding

Andrew Knyazev, Alexander Malyshev

Signal reconstruction from a sample using an orthogonal projector onto a guiding subspace is theoretically well justified, but may be difficult to practically implement. We propose…

math.OC2017

Preconditioned warm-started Newton-Krylov methods for MPC with discontinuous control

Andrew Knyazev, Alexander Malyshev

We present Newton-Krylov methods for efficient numerical solution of optimal control problems arising in model predictive control, where the optimal control is discontinuous. As in…

math.OC2017

Least squares dynamics in Newton-Krylov Model Predictive Control

Andrew Knyazev, Alexander Malyshev

Newton-Krylov methods for nonlinear Model Predictive Control are pioneered by T. Ohtsuka under the name "C/GMRES". Ohtsuka eliminates a system state over the horizon from Karush-Ku…

cs.IT2017★ 2 cited

Guided Signal Reconstruction Theory

Andrew Knyazev, Akshay Gadde, Hassan Mansour +1

An axiomatic approach to signal reconstruction is formulated, involving a sample consistent set and a guiding set, describing desired reconstructions. New frame-less reconstruction…