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