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Bivariate Matrix Functions

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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

Bivariate Matrix Functions

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hm-toolbox: Matlab software for HODLR and HSS matrices

MATHICSE Technical Report: Block Krylov subspace methods for functions of matrices II: Modified block FOM

MATHICSE Technical Report : Low-rank updates and divide-andconquer methods for quadratic matrix equations

Low-Rank Updates And A Divide-And-Conquer Method For Linear Matrix Equations

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Multi-panel, on-single-chip Memristive Biosensing

Unlabeled Sensing with Random Linear Measurements

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Sur quelques équations aux dérivées partielles en lien avec le lemme de Poincaré

MATHICSE Technical Report: Block Krylov subspace methods for functions of matrices II: Modified block FOM

MATHICSE Technical Report : Low-rank updates and divide-andconquer methods for quadratic matrix equations

hm-toolbox: Matlab software for HODLR and HSS matrices

Multi-panel, on-single-chip Memristive Biosensing

Low-Rank Updates And A Divide-And-Conquer Method For Linear Matrix Equations

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Unlabeled Sensing with Random Linear Measurements

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Sur quelques équations aux dérivées partielles en lien avec le lemme de Poincaré