Sfoglia per Autore
On spectral properties of steepest descent methods
2013 DE ASMUNDIS, R; DI SERAFINO, Daniela; Riccio, F; Toraldo, G.
A matrix-free approach to build band preconditioners for large-scale bound-constrained optimization
2014 DE SIMONE, Valentina; DI SERAFINO, Daniela
An efficient gradient method using the Yuan steplength
2014 DE ASMUNDIS, R; DI SERAFINO, Daniela; Hager, W. W.; Toraldo, G; Zhang, H.
Stochastic models for the disaggregation of precipitation time series on sub-daily scale: identification of parameters by global optimization
2015 Villani, V; DI SERAFINO, Daniela; Rianna, G; Mercogliano, P.
Updating constraint preconditioners for KKT systems in quadratic programming via low-rank corrections
2015 Bellavia, S; DE SIMONE, Valentina; DI SERAFINO, Daniela; Morini, B.
SParC-LES: enabling large eddy simulations with parallel sparse matrix computation tools
2015 Aprovitola, A; D'Ambra, P; Denaro, Filippo Maria; DI SERAFINO, Daniela; Filippone, S.
On the update of constraint preconditioners for regularized KKT systems
2016 Bellavia, S; DE SIMONE, Valentina; DI SERAFINO, Daniela; Morini, B.
A note on spectral properties of some gradient methods
2016 DI SERAFINO, Daniela; Ruggiero, Valeria; Toraldo, Gerardo; Zanni, Luca
On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems
2016 De Asmundis, R; DI SERAFINO, Daniela; Landi, G.
On the application of the spectral projected gradient method in image segmentation
2016 Antonelli, L; DE SIMONE, Valentina; DI SERAFINO, Daniela
P2GP - Proportionality-based 2-phase Gradient Projection method
2017 di Serafino, Daniela; Toraldo, Gerardo; Viola, Marco
A two-phase gradient method for quadratic programming problems with a single linear constraint and bounds on the variables
2018 DI SERAFINO, Daniela; Toraldo, Gerardo; Viola, Marco; Barlow, Jesse
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming
2018 Bergamaschi, Luca; De Simone, Valentina; di Serafino, Daniela; Martìnez, Angeles
On the steplength selection in gradient methods for unconstrained optimization
2018 DI SERAFINO, Daniela; Ruggiero, Valeria; Toraldo, Gerardo; Zanni, Luca
Parallel Aggregation Based on Compatible Weighted Matching for AMG
2018 Abdullahi, Ambra; D'Ambra, Pasqua; di Serafino, Daniela; Filippone, Salvatore
On preconditioner updates for sequences of saddle-point linear systems
2018 De Simone, V.; di Serafino, D.; Morini, B.
Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs
2019 Abdullahi Hassan, Ambra; Cardellini, Valeria; D’Ambra, Pasqua; DI SERAFINO, Daniela; Filippone, Salvatore
ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration
2019 di Serafino, D.; Landi, G.; Viola, M.
Using gradient directions to get global convergence of Newton-type methods
2020 di Serafino, D.; Toraldo, G.; Viola, M.
A Gradient-Based Globalization Strategy for the Newton Method
2020 di Serafino, Daniela; Toraldo, Gerardo; Viola, Marco
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