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Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Stefano Massei

Evaluating the action of a matrix function on a vector, that is

x=f(\mathcal M)v

, is an ubiquitous task in applications. When

\mathcal M

is large, one usually relies on Krylov projection methods. In this paper, we provide effective choices for the pole ...

2019

Vecteur contravariant, covariant et covecteur

Graph Chatbot

Chattez avec Graph Search

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Covariant formulation of relativistic mechanics

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)

On compact representations of Voronoi cells of lattices

Wavelet analysis of the Besov regularity of Levy white noise

One simulation to have them all: performance of the Bias Assignment Method against N-body simulations

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Procrustes Metrics and Optimal Transport for Covariance Operators

On compact representations of Voronoi cells of lattices

Low-latency speaker spotting with online diarization and detection

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)

On compact representations of Voronoi cells of lattices

Procrustes Metrics and Optimal Transport for Covariance Operators

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Covariant formulation of relativistic mechanics

One simulation to have them all: performance of the Bias Assignment Method against N-body simulations

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

On compact representations of Voronoi cells of lattices

Low-latency speaker spotting with online diarization and detection

Wavelet analysis of the Besov regularity of Levy white noise