Pubblicazioni

Comparison of accelerated versions of the iterative gradient method to ameliorate the spatial resolution of microwave radiometer products

2022 - REMOTE SENSING
Alparone, M.; Nunziata, F.; Estatico, C.; Migliaccio, M.

On the use of preconditioners to improve the accuracy and effectiveness of iterative methods to enhance the spatial resolution of radiometer measurements

2021 - IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Alparone, M.; Nunziata, F.; Estatico, C.; Migliaccio, M.

A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization

2020 - SIAM JOURNAL ON OPTIMIZATION
Al-Baali, Mehiddin; Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo

Diving physiopathology. the end of certainties? Food for thought

2019 - MINERVA ANESTESIOLOGICA
Balestra, C; Germonpre, P; Rocco, M; Biancofiore, G; Kot, J

Quasi-Newton based preconditioning and damped quasi-Newton schemes for nonlinear conjugate gradient methods

2018 - Numerical analysis and optimization
Al-Baali, Mehiddin; Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo

Prokineticins are neuroprotective in models of cerebral ischemia and ischemic tolerance in vitro

2016 - NEUROPHARMACOLOGY
Landucci, Elisa; Lattanzi, Roberta; Gerace, Elisabetta; Scartabelli, Tania; Balboni, Gianfranco; Negri, Lucia; Pellegrini Giampietro, Domenico E.

Preconditioning strategies for nonlinear conjugate gradient methods, based on quasi-Newton updates

2016 - Numerical computations: theory and algorithms (NUMTA–2016). Proceedings of the 2nd international conference “Numerical computations: theory and agorithms”
Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo

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