A multiprecision algorithm for the solution of polynomials and polynomial eigenvalue problems. - Dario A. Bini; Leonardo Robol (SNC, 2014)

Certified counting of roots of random univariate polynomials. - Joseph Cleveland; Jeffrey Dzugan; Jonathan D. Hauenstein; Ian Haywood; Dhagash Mehta; Anthony Morse; Leonardo Robol; Taylor Schlenk (CoRR, 2014)

Solving secular and polynomial equations: A multiprecision algorithm. - Dario A. Bini; Leonardo Robol (J. Comput. Appl. Math., 2014)

Fast Hessenberg Reduction of Some Rank Structured Matrices. - Luca Gemignani; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2017)

A Framework for Structured Linearizations of Matrix Polynomials in Various Bases. - Leonardo Robol; Raf Vandebril; Paul Van Dooren (SIAM J. Matrix Anal. Appl., 2017)

On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes. - Dario A. Bini; Stefano Massei; Beatrice Meini; Leonardo Robol (Numer. Linear Algebra Appl., 2018)

Fast and Backward Stable Computation of Roots of Polynomials, Part II: Backward Error Analysis; Companion Matrix and Companion Pencil. - Jared Lee Aurentz; Thomas Mach; Leonardo Robol; Raf Vandebril; David S. Watkins (SIAM J. Matrix Anal. Appl., 2018)

Solving Rank-Structured Sylvester and Lyapunov Equations. - Stefano Massei; Davide Palitta; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2018)

Stochastic Evaluation of Large Interdependent Composed Models Through Kronecker Algebra and Exponential Sums. - Giulio Masetti; Leonardo Robol; Silvano Chiaradonna; Felicita Di Giandomenico (Petri Nets, 2019)

A model updating procedure to enhance structural analysis in the FE code NOSA-ITACA. - Maria Girardi; Cristina Padovani; Daniele Pellegrini; Leonardo Robol (CoRR, 2019)

Tensor methods for the computation of MTTA in large systems of loosely interconnected components. - Leonardo Robol; Giulio Masetti (CoRR, 2019)

Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations. - Leonardo Robol (CoRR, 2019)

Rational Krylov for Stieltjes matrix functions: convergence and pole selection. - Stefano Massei; Leonardo Robol (CoRR, 2019)

Structured backward errors in linearizations. - Vanni Noferini; Leonardo Robol; Raf Vandebril (CoRR, 2019)

Fast and backward stable computation of eigenvalues and eigenvectors of matrix polynomials. - Jared Lee Aurentz; Thomas Mach; Leonardo Robol; Raf Vandebril; David S. Watkins (Math. Comput., 2019)

Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. - Dario A. Bini; Stefano Massei; Leonardo Robol (Numer. Algorithms, 2019)

When is a matrix unitary or Hermitian plus low rank? - Gianna M. Del Corso; Federico Poloni; Leonardo Robol; Raf Vandebril (Numer. Linear Algebra Appl., 2019)

Nonsingular systems of generalized Sylvester equations: An algorithmic approach. - Fernando de Terán; Bruno Iannazzo; Federico Poloni; Leonardo Robol (Numer. Linear Algebra Appl., 2019)

Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. - Daniel Kressner; Stefano Massei; Leonardo Robol (SIAM J. Sci. Comput., 2019)

Fast Solvers for Two-Dimensional Fractional Diffusion Equations Using Rank Structured Matrices. - Stefano Massei; Mariarosa Mazza; Leonardo Robol (SIAM J. Sci. Comput., 2019)

A finite element model updating method based on global optimization. - Maria Girardi; Cristina Padovani; Daniele Pellegrini; Leonardo Robol (CoRR, 2020)

Sampling the eigenvalues of random orthogonal and unitary matrices. - Massimiliano Fasi; Leonardo Robol (CoRR, 2020)

Finite element model updating for structural applications. - Maria Girardi; Cristina Padovani; Daniele Pellegrini; Margherita Porcelli; Leonardo Robol (J. Comput. Appl. Math., 2020)

Computing performability measures in Markov chains by means of matrix functions. - Giulio Masetti; Leonardo Robol (J. Comput. Appl. Math., 2020)

A Computational Framework for Two-Dimensional Random Walks With Restarts. - Dario A. Bini; Stefano Massei; Beatrice Meini; Leonardo Robol (SIAM J. Sci. Comput., 2020)

hm-toolbox: MATLAB Software for HODLR and HSS Matrices. - Stefano Massei; Leonardo Robol; Daniel Kressner (SIAM J. Sci. Comput., 2020)

Hierarchical adaptive low-rank format with applications to discretized PDEs. - Stefano Massei; Leonardo Robol; Daniel Kressner (CoRR, 2021)

Rank-Structured QR for Chebyshev Rootfinding. - Angelo Casulli; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2021)

Solution Bundles of Markov Performability Models through Adaptive Cross Approximation. - Giulio Masetti; Leonardo Robol; Silvano Chiaradonna; Felicita Di Giandomenico (DSN, 2022)

Random Bad State Estimator to Address False Data Injection in Critical Infrastructures. - Giulio Masetti; Silvano Chiaradonna; Leonardo Robol; Felicita Di Giandomenico (PRDC, 2022)

Low-rank tensor structure preservation in fractional operators by means of exponential sums. - Angelo A. Casulli; Leonardo Robol (CoRR, 2022)

Hierarchical adaptive low-rank format with applications to discretized partial differential equations. - Stefano Massei; Leonardo Robol; Daniel Kressner (Numer. Linear Algebra Appl., 2022)

Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices. - Stefano Massei; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2022)

TAPAS: a Tool for Stochastic Evaluation of Large Interdependent Composed Models with Absorbing States. - Giulio Masetti; Leonardo Robol; Silvano Chiaradonna; Felicita Di Giandomenico (SIGMETRICS Perform. Evaluation Rev., 2022)

A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients. - Stefano Massei; Leonardo Robol (CoRR, 2023)

An effcient block rational Krylov solver for Sylvester equations with adaptive pole selection. - Angelo A. Casulli; Leonardo Robol (CoRR, 2023)

Implicit Reward Structures for Implicit Reliability Models. - Giulio Masetti; Leonardo Robol; Silvano Chiaradonna; Felicita Di Giandomenico (IEEE Trans. Reliab., 2023)

Computing eigenvalues of semi-infinite quasi-Toeplitz matrices. - Dario A. Bini; Bruno Iannazzo; Beatrice Meini; Jie Meng; Leonardo Robol (Numer. Algorithms, 2023)

Reduced Order Modeling for Thermal Simulations of Electric Components With Surface-to-Surface Radiation. - Matteo Zorzetto; Riccardo Torchio; Francesco Lucchini; Stefano Massei; Leonardo Robol; Fabrizio Dughiero (IEEE Access, 2024)

Backward errors for multiple eigenpairs in structured and unstructured nonlinear eigenvalue problems. - Miryam Gnazzo; Leonardo Robol (CoRR, 2024)

Randomized sketched TT-GMRES for linear systems with tensor structure. - Alberto Bucci; Davide Palitta; Leonardo Robol (CoRR, 2024)

Tropical Laurent series, their tropical roots, and localization results for the eigenvalues of nonlinear matrix functions. - Gian Maria Negri Porzio; Vanni Noferini; Leonardo Robol (Math. Comput., 2024)

A Multilinear Nyström Algorithm for Low-Rank Approximation of Tensors in Tucker Format. - Alberto Bucci; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2024)

Computing Functions of Symmetric Hierarchically Semiseparable Matrices. - Angelo A. Casulli; Daniel Kressner; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2024)

An Efficient Block Rational Krylov Solver for Sylvester Equations with Adaptive Pole Selection. - Angelo Casulli; Leonardo Robol (SIAM J. Sci. Comput., 2024)

Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. - Ivan Bioli; Daniel Kressner; Leonardo Robol (SIAM J. Sci. Comput., 2025)

Error formulas for block rational Krylov approximations of matrix functions. - Stefano Massei; Leonardo Robol (CoRR, 2025)