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Leonardo Robol
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2020 – today
- 2024
- [j24]Alberto Bucci, Leonardo Robol:
A Multilinear Nyström Algorithm for Low-Rank Approximation of Tensors in Tucker Format. SIAM J. Matrix Anal. Appl. 45(4): 1929-1953 (2024) - [j23]Angelo Casulli, Leonardo Robol:
An Efficient Block Rational Krylov Solver for Sylvester Equations with Adaptive Pole Selection. SIAM J. Sci. Comput. 46(2): 798- (2024) - [i23]Angelo A. Casulli, Daniel Kressner, Leonardo Robol:
Computing Functions of Symmetric Hierarchically Semiseparable Matrices. CoRR abs/2402.17369 (2024) - [i22]Miryam Gnazzo, Leonardo Robol:
Backward errors for multiple eigenpairs in structured and unstructured nonlinear eigenvalue problems. CoRR abs/2405.06327 (2024) - [i21]Ivan Bioli, Daniel Kressner, Leonardo Robol:
Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. CoRR abs/2408.16416 (2024) - [i20]Alberto Bucci, Davide Palitta, Leonardo Robol:
Randomized sketched TT-GMRES for linear systems with tensor structure. CoRR abs/2409.09471 (2024) - 2023
- [j22]Dario A. Bini, Bruno Iannazzo, Beatrice Meini, Jie Meng, Leonardo Robol:
Computing eigenvalues of semi-infinite quasi-Toeplitz matrices. Numer. Algorithms 92(1): 89-118 (2023) - [j21]Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico:
Implicit Reward Structures for Implicit Reliability Models. IEEE Trans. Reliab. 72(2): 774-794 (2023) - [i19]Stefano Massei, Leonardo Robol:
A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients. CoRR abs/2301.06781 (2023) - [i18]Angelo A. Casulli, Leonardo Robol:
An effcient block rational Krylov solver for Sylvester equations with adaptive pole selection. CoRR abs/2301.08103 (2023) - [i17]Alberto Bucci, Leonardo Robol:
A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format. CoRR abs/2309.02877 (2023) - 2022
- [j20]Stefano Massei, Leonardo Robol, Daniel Kressner:
Hierarchical adaptive low-rank format with applications to discretized partial differential equations. Numer. Linear Algebra Appl. 29(6) (2022) - [j19]Stefano Massei, Leonardo Robol:
Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices. SIAM J. Matrix Anal. Appl. 43(2): 638-660 (2022) - [j18]Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico:
TAPAS: a Tool for Stochastic Evaluation of Large Interdependent Composed Models with Absorbing States. SIGMETRICS Perform. Evaluation Rev. 49(4): 41-46 (2022) - [c4]Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico:
Solution Bundles of Markov Performability Models through Adaptive Cross Approximation. DSN 2022: 381-392 - [c3]Giulio Masetti, Silvano Chiaradonna, Leonardo Robol, Felicita Di Giandomenico:
Random Bad State Estimator to Address False Data Injection in Critical Infrastructures. PRDC 2022: 98-108 - [i16]Dario A. Bini, Bruno Iannazzo, Beatrice Meini, Jie Meng, Leonardo Robol:
Computing eigenvalues of semi-infinite quasi-Toeplitz matrices. CoRR abs/2203.06484 (2022) - [i15]Angelo A. Casulli, Leonardo Robol:
Low-rank tensor structure preservation in fractional operators by means of exponential sums. CoRR abs/2208.05189 (2022) - 2021
- [j17]Angelo Casulli, Leonardo Robol:
Rank-Structured QR for Chebyshev Rootfinding. SIAM J. Matrix Anal. Appl. 42(3): 1148-1171 (2021) - [i14]Stefano Massei, Leonardo Robol:
Mixed precision recursive block diagonalization for bivariate functions of matrices. CoRR abs/2104.00396 (2021) - [i13]Stefano Massei, Leonardo Robol, Daniel Kressner:
Hierarchical adaptive low-rank format with applications to discretized PDEs. CoRR abs/2104.11456 (2021) - [i12]Gian Maria Negri Porzio, Vanni Noferini, Leonardo Robol:
Tropical Laurent series, their tropical roots, and localization results for the eigenvalues of nonlinear matrix functions. CoRR abs/2107.07982 (2021) - 2020
- [j16]Giulio Masetti, Leonardo Robol:
Computing performability measures in Markov chains by means of matrix functions. J. Comput. Appl. Math. 368 (2020) - [j15]Maria Girardi, Cristina Padovani, Daniele Pellegrini, Margherita Porcelli, Leonardo Robol:
Finite element model updating for structural applications. J. Comput. Appl. Math. 370 (2020) - [j14]Stefano Massei, Leonardo Robol, Daniel Kressner:
hm-toolbox: MATLAB Software for HODLR and HSS Matrices. SIAM J. Sci. Comput. 42(2): C43-C68 (2020) - [j13]Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol:
A Computational Framework for Two-Dimensional Random Walks With Restarts. SIAM J. Sci. Comput. 42(4): A2108-A2133 (2020) - [i11]Maria Girardi, Cristina Padovani, Daniele Pellegrini, Leonardo Robol:
A finite element model updating method based on global optimization. CoRR abs/2007.00278 (2020) - [i10]Massimiliano Fasi, Leonardo Robol:
Sampling the eigenvalues of random orthogonal and unitary matrices. CoRR abs/2009.11515 (2020) - [i9]Angelo Casulli, Leonardo Robol:
Rank-structured QR for Chebyshev rootfinding. CoRR abs/2010.11416 (2020)
2010 – 2019
- 2019
- [j12]Jared Lee Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, David S. Watkins:
Fast and backward stable computation of eigenvalues and eigenvectors of matrix polynomials. Math. Comput. 88(315): 313-347 (2019) - [j11]Dario A. Bini, Stefano Massei, Leonardo Robol:
Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. Numer. Algorithms 81(2): 741-769 (2019) - [j10]Fernando de Terán, Bruno Iannazzo, Federico Poloni, Leonardo Robol:
Nonsingular systems of generalized Sylvester equations: An algorithmic approach. Numer. Linear Algebra Appl. 26(5) (2019) - [j9]Gianna M. Del Corso, Federico Poloni, Leonardo Robol, Raf Vandebril:
When is a matrix unitary or Hermitian plus low rank? Numer. Linear Algebra Appl. 26(6) (2019) - [j8]Daniel Kressner, Stefano Massei, Leonardo Robol:
Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. SIAM J. Sci. Comput. 41(2): A848-A876 (2019) - [j7]Stefano Massei, Mariarosa Mazza, Leonardo Robol:
Fast Solvers for Two-Dimensional Fractional Diffusion Equations Using Rank Structured Matrices. SIAM J. Sci. Comput. 41(4): A2627-A2656 (2019) - [c2]Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico:
Stochastic Evaluation of Large Interdependent Composed Models Through Kronecker Algebra and Exponential Sums. Petri Nets 2019: 47-66 - [i8]Maria Girardi, Cristina Padovani, Daniele Pellegrini, Leonardo Robol:
A model updating procedure to enhance structural analysis in the FE code NOSA-ITACA. CoRR abs/1902.03949 (2019) - [i7]Leonardo Robol, Giulio Masetti:
Tensor methods for the computation of MTTA in large systems of loosely interconnected components. CoRR abs/1907.02449 (2019) - [i6]Leonardo Robol:
Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations. CoRR abs/1907.02753 (2019) - [i5]Stefano Massei, Leonardo Robol:
Rational Krylov for Stieltjes matrix functions: convergence and pole selection. CoRR abs/1908.02032 (2019) - [i4]Stefano Massei, Leonardo Robol, Daniel Kressner:
hm-toolbox: Matlab software for HODLR and HSS matrices. CoRR abs/1909.07909 (2019) - [i3]Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol:
A computational framework for two-dimensional random walks with restarts. CoRR abs/1909.11372 (2019) - [i2]Vanni Noferini, Leonardo Robol, Raf Vandebril:
Structured backward errors in linearizations. CoRR abs/1912.04157 (2019) - 2018
- [j6]Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol:
On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes. Numer. Linear Algebra Appl. 25(6) (2018) - [j5]Jared Lee Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, David S. Watkins:
Fast and Backward Stable Computation of Roots of Polynomials, Part II: Backward Error Analysis; Companion Matrix and Companion Pencil. SIAM J. Matrix Anal. Appl. 39(3): 1245-1269 (2018) - [j4]Stefano Massei, Davide Palitta, Leonardo Robol:
Solving Rank-Structured Sylvester and Lyapunov Equations. SIAM J. Matrix Anal. Appl. 39(4): 1564-1590 (2018) - 2017
- [j3]Leonardo Robol, Raf Vandebril, Paul Van Dooren:
A Framework for Structured Linearizations of Matrix Polynomials in Various Bases. SIAM J. Matrix Anal. Appl. 38(1): 188-216 (2017) - [j2]Luca Gemignani, Leonardo Robol:
Fast Hessenberg Reduction of Some Rank Structured Matrices. SIAM J. Matrix Anal. Appl. 38(2): 574-598 (2017) - 2014
- [j1]Dario A. Bini, Leonardo Robol:
Solving secular and polynomial equations: A multiprecision algorithm. J. Comput. Appl. Math. 272: 276-292 (2014) - [c1]Dario A. Bini, Leonardo Robol:
A multiprecision algorithm for the solution of polynomials and polynomial eigenvalue problems. SNC 2014: 17-18 - [i1]Joseph Cleveland, Jeffrey Dzugan, Jonathan D. Hauenstein, Ian Haywood, Dhagash Mehta, Anthony Morse, Leonardo Robol, Taylor Schlenk:
Certified counting of roots of random univariate polynomials. CoRR abs/1412.1717 (2014)
Coauthor Index
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last updated on 2024-11-07 20:32 CET by the dblp team
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