activity
20182024
most citedTensor methods for the computation of MTTA in large systems of loosely interconnected components

1 citations · 1 across the 4 of their papers we have counts for

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12 papers · 1 filter

math.NA2024

Randomized sketched TT-GMRES for linear systems with tensor structure

Alberto Bucci, Davide Palitta, Leonardo Robol

In the last decade, tensors have shown their potential as valuable tools for various tasks in numerical linear algebra. While most of the research has been focusing on how to compr…

math.NA2021

Hierarchical adaptive low-rank format with applications to discretized PDEs

Stefano Massei, Leonardo Robol, Daniel Kressner

A novel compressed matrix format is proposed that combines an adaptive hierarchical partitioning of the matrix with low-rank approximation. One typical application is the approxima…

math.NA2021

Mixed precision recursive block diagonalization for bivariate functions of matrices

Stefano Massei, Leonardo Robol

Various numerical linear algebra problems can be formulated as evaluating bivariate function of matrices. The most notable examples are the Fréchet derivative along a direction, th…

math.NA2020

Sampling the eigenvalues of random orthogonal and unitary matrices

Massimiliano Fasi, Leonardo Robol

We develop an efficient algorithm for sampling the eigenvalues of random matrices distributed according to the Haar measure over the orthogonal or unitary group. Our technique samp…

math.NA2019

A computational framework for two-dimensional random walks with restarts

Dario A. Bini, Stefano Massei, Beatrice Meini +1

The treatment of two-dimensional random walks in the quarter plane leads to Markov processes which involve semi-infinite matrices having Toeplitz or block Toeplitz structure plus a…

math.NA2019

hm-toolbox: Matlab software for HODLR and HSS matrices

Stefano Massei, Leonardo Robol, Daniel Kressner

Matrices with hierarchical low-rank structure, including HODLR and HSS matrices, constitute a versatile tool to develop fast algorithms for addressing large-scale problems. While e…