most citedA Nesterov-style Accelerated Gradient Descent Algorithm for the Symmetric Eigenvalue Problem

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math.NA2024

A preconditioned inverse iteration with an improved convergence guarantee

Foivos Alimisis, Daniel Kressner, Nian Shao +1

Preconditioned eigenvalue solvers offer the possibility to incorporate preconditioners for the solution of large-scale eigenvalue problems, as they arise from the discretization of…

math.NA2022

Streaming Tensor Train Approximation

Daniel Kressner, Bart Vandereycken, Rik Voorhaar

Tensor trains are a versatile tool to compress and work with high-dimensional data and functions. In this work we introduce the Streaming Tensor Train Approximation (STTA), a new c…