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20232025
most citedRandomized low-rank approximation of parameter-dependent matrices

1 citations · 1 across the 5 of their papers we have counts for

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math.NA2025

Interpolatory Dynamical Low-Rank Approximation: Theoretical Foundations and Algorithms

Benjamin Carrel, Daniel Kressner, Hei Yin Lam +1

Dynamical low-rank approximation (DLRA) is a widely used paradigm for solving large-scale matrix differential equations, as they arise, for example, from the discretization of time…

math.NA2025

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation

Fabio Matti, Haoze He, Daniel Kressner +1

Stochastic trace estimation is a well-established tool for approximating the trace of a large symmetric matrix . Several applications involve a matrix that depends…