Leonardo Robol

57 papers A 1B 1C 1Journal 53Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Error formulas for block rational Krylov approximations of matrix functions. CoRR Stefano Massei, Leonardo Robol
2025	J	`jnl`	Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. SIAM J. Sci. Comput. Ivan Bioli, Daniel Kressner, Leonardo Robol
2025	J	`jnl`	Randomized Sketched TT-GMRES for Linear Systems with Tensor Structure. SIAM J. Sci. Comput. Alberto Bucci, Davide Palitta, Leonardo Robol
2024	J	`jnl`	A Multilinear Nyström Algorithm for Low-Rank Approximation of Tensors in Tucker Format. SIAM J. Matrix Anal. Appl. Alberto Bucci, Leonardo Robol
2024	J	`jnl`	An Efficient Block Rational Krylov Solver for Sylvester Equations with Adaptive Pole Selection. SIAM J. Sci. Comput. Angelo Casulli, Leonardo Robol
2024	J	`jnl`	Backward errors for multiple eigenpairs in structured and unstructured nonlinear eigenvalue problems. CoRR Miryam Gnazzo, Leonardo Robol
2024	J	`jnl`	Computing Functions of Symmetric Hierarchically Semiseparable Matrices. CoRR Angelo A. Casulli, Daniel Kressner, Leonardo Robol
2024	J	`jnl`	Computing Functions of Symmetric Hierarchically Semiseparable Matrices. SIAM J. Matrix Anal. Appl. Angelo A. Casulli, Daniel Kressner, Leonardo Robol
2024	J	`jnl`	Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. CoRR Ivan Bioli, Daniel Kressner, Leonardo Robol
2024	J	`jnl`	Randomized sketched TT-GMRES for linear systems with tensor structure. CoRR Alberto Bucci, Davide Palitta, Leonardo Robol
2024	J	`jnl`	Reduced Order Modeling for Thermal Simulations of Electric Components With Surface-to-Surface Radiation. IEEE Access Matteo Zorzetto, Riccardo Torchio, Francesco Lucchini, Stefano Massei, Leonardo Robol, Fabrizio Dughiero
2024	J	`jnl`	Tropical Laurent series, their tropical roots, and localization results for the eigenvalues of nonlinear matrix functions. Math. Comput. Gian Maria Negri Porzio, Vanni Noferini, Leonardo Robol
2023	J	`jnl`	A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format. CoRR Alberto Bucci, Leonardo Robol
2023	J	`jnl`	A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients. CoRR Stefano Massei, Leonardo Robol
2023	J	`jnl`	An effcient block rational Krylov solver for Sylvester equations with adaptive pole selection. CoRR Angelo A. Casulli, Leonardo Robol
2023	J	`jnl`	Computing eigenvalues of semi-infinite quasi-Toeplitz matrices. Numer. Algorithms Dario A. Bini, Bruno Iannazzo, Beatrice Meini, Jie Meng, Leonardo Robol
2023	J	`jnl`	Implicit Reward Structures for Implicit Reliability Models. IEEE Trans. Reliab. Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico
2022	J	`jnl`	Computing eigenvalues of semi-infinite quasi-Toeplitz matrices. CoRR Dario A. Bini, Bruno Iannazzo, Beatrice Meini, Jie Meng, Leonardo Robol
2022	J	`jnl`	Hierarchical adaptive low-rank format with applications to discretized partial differential equations. Numer. Linear Algebra Appl. Stefano Massei, Leonardo Robol, Daniel Kressner
2022	J	`jnl`	Low-rank tensor structure preservation in fractional operators by means of exponential sums. CoRR Angelo A. Casulli, Leonardo Robol
2022	J	`jnl`	Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices. SIAM J. Matrix Anal. Appl. Stefano Massei, Leonardo Robol
2022	C	`conf`	Random Bad State Estimator to Address False Data Injection in Critical Infrastructures. PRDC Giulio Masetti, Silvano Chiaradonna, Leonardo Robol, Felicita Di Giandomenico
2022	A	`conf`	Solution Bundles of Markov Performability Models through Adaptive Cross Approximation. DSN Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico
2022	J	`jnl`	TAPAS: a Tool for Stochastic Evaluation of Large Interdependent Composed Models with Absorbing States. SIGMETRICS Perform. Evaluation Rev. Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico
2021	J	`jnl`	Hierarchical adaptive low-rank format with applications to discretized PDEs. CoRR Stefano Massei, Leonardo Robol, Daniel Kressner
2021	J	`jnl`	Mixed precision recursive block diagonalization for bivariate functions of matrices. CoRR Stefano Massei, Leonardo Robol
2021	J	`jnl`	Rank-Structured QR for Chebyshev Rootfinding. SIAM J. Matrix Anal. Appl. Angelo Casulli, Leonardo Robol
2021	J	`jnl`	Tropical Laurent series, their tropical roots, and localization results for the eigenvalues of nonlinear matrix functions. CoRR Gian Maria Negri Porzio, Vanni Noferini, Leonardo Robol
2020	J	`jnl`	A Computational Framework for Two-Dimensional Random Walks With Restarts. SIAM J. Sci. Comput. Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol
2020	J	`jnl`	A finite element model updating method based on global optimization. CoRR Maria Girardi, Cristina Padovani, Daniele Pellegrini, Leonardo Robol
2020	J	`jnl`	Computing performability measures in Markov chains by means of matrix functions. J. Comput. Appl. Math. Giulio Masetti, Leonardo Robol
2020	J	`jnl`	Finite element model updating for structural applications. J. Comput. Appl. Math. Maria Girardi, Cristina Padovani, Daniele Pellegrini, Margherita Porcelli, Leonardo Robol
2020	J	`jnl`	Rank-structured QR for Chebyshev rootfinding. CoRR Angelo Casulli, Leonardo Robol
2020	J	`jnl`	Sampling the eigenvalues of random orthogonal and unitary matrices. CoRR Massimiliano Fasi, Leonardo Robol
2020	J	`jnl`	hm-toolbox: MATLAB Software for HODLR and HSS Matrices. SIAM J. Sci. Comput. Stefano Massei, Leonardo Robol, Daniel Kressner
2019	J	`jnl`	A computational framework for two-dimensional random walks with restarts. CoRR Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol
2019	J	`jnl`	A model updating procedure to enhance structural analysis in the FE code NOSA-ITACA. CoRR Maria Girardi, Cristina Padovani, Daniele Pellegrini, Leonardo Robol
2019	J	`jnl`	Fast Solvers for Two-Dimensional Fractional Diffusion Equations Using Rank Structured Matrices. SIAM J. Sci. Comput. Stefano Massei, Mariarosa Mazza, Leonardo Robol
2019	J	`jnl`	Fast and backward stable computation of eigenvalues and eigenvectors of matrix polynomials. Math. Comput. Jared Lee Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, David S. Watkins
2019	J	`jnl`	Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. SIAM J. Sci. Comput. Daniel Kressner, Stefano Massei, Leonardo Robol
2019	J	`jnl`	Nonsingular systems of generalized Sylvester equations: An algorithmic approach. Numer. Linear Algebra Appl. Fernando de Terán, Bruno Iannazzo, Federico Poloni, Leonardo Robol
2019	J	`jnl`	Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. Numer. Algorithms Dario A. Bini, Stefano Massei, Leonardo Robol
2019	J	`jnl`	Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations. CoRR Leonardo Robol
2019	J	`jnl`	Rational Krylov for Stieltjes matrix functions: convergence and pole selection. CoRR Stefano Massei, Leonardo Robol
2019	B	`conf`	Stochastic Evaluation of Large Interdependent Composed Models Through Kronecker Algebra and Exponential Sums. Petri Nets Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico
2019	J	`jnl`	Structured backward errors in linearizations. CoRR Vanni Noferini, Leonardo Robol, Raf Vandebril
2019	J	`jnl`	Tensor methods for the computation of MTTA in large systems of loosely interconnected components. CoRR Leonardo Robol, Giulio Masetti
2019	J	`jnl`	When is a matrix unitary or Hermitian plus low rank? Numer. Linear Algebra Appl. Gianna M. Del Corso, Federico Poloni, Leonardo Robol, Raf Vandebril
2019	J	`jnl`	hm-toolbox: Matlab software for HODLR and HSS matrices. CoRR Stefano Massei, Leonardo Robol, Daniel Kressner
2018	J	`jnl`	Fast and Backward Stable Computation of Roots of Polynomials, Part II: Backward Error Analysis; Companion Matrix and Companion Pencil. SIAM J. Matrix Anal. Appl. Jared Lee Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, David S. Watkins
2018	J	`jnl`	On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes. Numer. Linear Algebra Appl. Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol
2018	J	`jnl`	Solving Rank-Structured Sylvester and Lyapunov Equations. SIAM J. Matrix Anal. Appl. Stefano Massei, Davide Palitta, Leonardo Robol
2017	J	`jnl`	A Framework for Structured Linearizations of Matrix Polynomials in Various Bases. SIAM J. Matrix Anal. Appl. Leonardo Robol, Raf Vandebril, Paul Van Dooren
2017	J	`jnl`	Fast Hessenberg Reduction of Some Rank Structured Matrices. SIAM J. Matrix Anal. Appl. Luca Gemignani, Leonardo Robol
2014	—	`conf`	A multiprecision algorithm for the solution of polynomials and polynomial eigenvalue problems. SNC Dario A. Bini, Leonardo Robol
2014	J	`jnl`	Certified counting of roots of random univariate polynomials. CoRR Joseph Cleveland, Jeffrey Dzugan, Jonathan D. Hauenstein, Ian Haywood, Dhagash Mehta, Anthony Morse, Leonardo Robol, Taylor Schlenk
2014	J	`jnl`	Solving secular and polynomial equations: A multiprecision algorithm. J. Comput. Appl. Math. Dario A. Bini, Leonardo Robol

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.