Stefano Cipolla
Published Papers
S. Cipolla, J. Gondzio. Proximal stabilized Interior Point Methods and low-frequency- updates preconditioning techniques. J. Optim. Theory. Appl., 2023.
Cipolla, S., Pozza, S., Redivo-Zaglia, M., Van Buggenhout, N. A Lanczos-type procedure for tensors. Numer Algor 92, 377-406 (2023).
S. Cipolla, J. Gondzio. Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations.EURO J. Comput. Optim. 10, 2022, 100046
C. Brezinski, S. Cipolla, M. Redivo-Zaglia, Y. Saad. Shanks and Anderson-type acceleration techniques for systems of nonlinear equations. IMA Journal of Numerical Analysis (2021).
S. Cipolla, M. Donatelli, F Durastante. Regularization of inverse problems by an approximate matrix-function technique. Numerical Algorithms (2021).
S. Cipolla, F Durastante, and F. Tudisco. Nonlocal PageRank. ESAIM: Mathematical Modelling and Numerical Analysis
S. Cipolla, C. Di Fiore, and P. Zellini. A variation of Broyden class methods using Householder adaptive transforms. Computational Optimization Applications, 2020
S. Cipolla, M. Redivo-Zaglia, F. Tudisco. Shifted and extrapolated power methods for tensor l^p-eigenpairs. Electronic Transactions Numerical Analysis, 53, 2020.
S. Cipolla, M. Redivo-Zaglia, F. Tudisco. Extrapolation methods for fixed-point multilinear Pagerank computations. Numerical Linear Algebra with Applications, e2280, 2020.
S. Cipolla, C. Di Fiore, and P. Zellini. Low complexity matrix projections preserving actions on vectors. Calcolo, 56, 8, 2019.
S. Cipolla, F. Durastante, C. Di Fiore, and P. Zellini. Regularizing properties of a class of matrices including the Optimal and the Superoptimal preconditioners. Numerical Linear Algebra with Applications, 26, 2, e2225, 2019.
F. Durastante, S. Cipolla. Fractional PDE constrained optimization: box and sparse constrained problems. Numerical Methods for Optimal Control Problems, Springer INDAM Series, 2018.
S. Cipolla, F. Durastante. Fractional PDE constrained optimization: An optimize-then-discretize approach with L-BFGS and approximate inverse preconditioning. Applied Numerical Mathematics, 123, 43-57, 2018.
S. Cipolla, C. Di Fiore, F. Tudisco. Euler-Richardson method preconditioned by weakly stochastic matrix algebras: a potential contribution to pagerank computation. Electronic Journal of Linear Algebra, 32, 254-272, 2017.
S. Cipolla, C. Di Fiore, F. Tudisco, P. Zellini, Adaptive Matrix Algebras in unconstrained minimization. Linear Algebra and its Applications, 471, 544-568, 2015.
Preprints
S. Cipolla, J. Gondzio. ADMM and inexact ALM: the QP case.
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