Stefano Massei

Michiel E. Hochstenbach

Barry Koren

J. Optim. Theory Appl., February, 2024

2023

Improved ParaDiag via low-rank updates and interpolation.

[BibT_eX]

[DOI]

Junli Zhu

Numerische Mathematik, October, 2023

AdamL: A fast adaptive gradient method incorporating loss function.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing network robustness via Krylov subspaces.

[BibT_eX]

[DOI]

Francesco Tudisco

CoRR, 2023

On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality.

[BibT_eX]

[DOI]

Michiel E. Hochstenbach

CoRR, 2023

A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2022

Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure.

[BibT_eX]

[DOI]

Alice Cortinovis

SIAM J. Matrix Anal. Appl., 2022

Hierarchical adaptive low-rank format with applications to discretized partial differential equations.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2022

Improved parallel-in-time integration via low-rank updates and interpolation.

[BibT_eX]

[DOI]

Junli Zhu

CoRR, 2022

On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation.

[BibT_eX]

[DOI]

Michiel E. Hochstenbach

Barry Koren

CoRR, 2022

2021

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2021

Hierarchical adaptive low-rank format with applications to discretized PDEs.

[BibT_eX]

[DOI]

CoRR, 2021

2020

hm-toolbox: MATLAB Software for HODLR and HSS Matrices.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2020

A Computational Framework for Two-Dimensional Random Walks With Restarts.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2020

A Low-Rank Technique for Computing the Quasi-Stationary Distribution of Subcritical Galton-Watson Processes.

[BibT_eX]

[DOI]

Sophie Hautphenne

SIAM J. Matrix Anal. Appl., 2020

Low-rank updates and divide-and-conquer methods for quadratic matrix equations.

[BibT_eX]

[DOI]

Patrick Kürschner

Numer. Algorithms, 2020

Some algorithms for maximum volume and cross approximation of symmetric semidefinite matrices.

[BibT_eX]

[DOI]

CoRR, 2020

Certified and fast computations with shallow covariance kernels.

[BibT_eX]

[DOI]

CoRR, 2020

Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation.

[BibT_eX]

[DOI]

Alice Cortinovis

Benjamin Peherstorfer

Proceedings of the 2020 American Control Conference, 2020

2019

Fast Solvers for Two-Dimensional Fractional Diffusion Equations Using Rank Structured Matrices.

[BibT_eX]

[DOI]

Mariarosa Mazza

SIAM J. Sci. Comput., 2019

Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2019

Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox.

[BibT_eX]

[DOI]

Dario A. Bini

Numer. Algorithms, 2019

Rational Krylov for Stieltjes matrix functions: convergence and pole selection.

[BibT_eX]

[DOI]

CoRR, 2019

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices.

[BibT_eX]

[DOI]

Alice Cortinovis

CoRR, 2019

2018

Solving Rank-Structured Sylvester and Lyapunov Equations.

[BibT_eX]

[DOI]

Davide Palitta

SIAM J. Matrix Anal. Appl., 2018

On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2018

Semi-infinite quasi-Toeplitz matrices with applications to QBD stochastic processes.

[BibT_eX]

[DOI]

Dario A. Bini