Angeles Martinez Calomardo
Angeles Martinez Calomardo
University of Trieste
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A massively parallel exponential integrator for advection-diffusion models
A Martínez, L Bergamaschi, M Caliari, M Vianello
Journal of computational and applied mathematics 231 (1), 82-91, 2009
Quasi-Newton preconditioners for the inexact Newton method
L Bergamaschi, R Bru, A Martínez, M Putti
Electronic Transactions on Numerical Analysis 23, 76-87, 2006
Fast and stable rational RBF-based partition of unity interpolation
S De Marchi, A Martínez, E Perracchione
Journal of Computational and Applied Mathematics 349, 331-343, 2019
Comparing Leja and Krylov approximations of large scale matrix exponentials
L Bergamaschi, M Caliari, A Martínez, M Vianello
Computational Science–ICCS 2006, 685-692, 2006
Multisplitting preconditioners based on incomplete Choleski factorizations
R Bru, C Corral, A Martínez, J Mas
SIAM Journal on Matrix Analysis and Applications 16 (4), 1210-1222, 1995
RMCP: Relaxed Mixed Constraint Preconditioners for saddle point linear systems arising in geomechanics
L Bergamaschi, Á Martínez
Computer Methods in Applied Mechanics and Engineering 221, 54-62, 2012
RBF-based partition of unity methods for elliptic PDEs: Adaptivity and stability issues via variably scaled kernels
S De Marchi, A Martinez, E Perracchione, M Rossini
Journal of scientific computing 79, 321-344, 2019
Spectral preconditioners for the efficient numerical solution of a continuous branched transport model
L Bergamaschi, E Facca, A Martínez, M Putti
Journal of Computational and Applied Mathematics 354, 259-270, 2019
Low-rank update of preconditioners for the inexact Newton method with SPD Jacobian
L Bergamaschi, R Bru, A Martinez
Mathematical and Computer Modelling 54 (7), 1863-1873, 2011
An efficient parallel MLPG method for poroelastic models
L Bergamaschi, Á Martínez, G Pini
Computer Modeling in Engineering and Sciences (CMES) 14 (3), 191, 2009
Parallel acceleration of Krylov solvers by factorized approximate inverse preconditioners
L Bergamaschi, Á Martínez
International Conference on High Performance Computing for Computational …, 2004
A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming
L Bergamaschi, J Gondzio, Á Martínez, JW Pearson, S Pougkakiotis
Numerical Linear Algebra with Applications 28 (4), e2361, 2021
Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems
L Bergamaschi, Á Martínez, G Pini
Applied mathematics and computation 175 (2), 1694-1715, 2006
Tuned preconditioners for the eigensolution of large SPD matrices arising in engineering problems
Á Martínez
Numerical Linear Algebra with Applications 23 (3), 427-443, 2016
Quadrature-based polynomial optimization
A Martinez, F Piazzon, A Sommariva, M Vianello
Optimization Letters 14 (5), 1027-1036, 2020
BFGS‐like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming
L Bergamaschi, V De Simone, D Di Serafino, A Martìnez
Numerical Linear Algebra with Applications 25 (5), e2144, 2018
Polynomial preconditioners based on factorized sparse approximate inverses
J Cerdán, J Marın, A Martınez
Applied mathematics and computation 133 (1), 171-186, 2002
Low-rank update of preconditioners for the nonlinear Richards equation
L Bergamaschi, R Bru, A Martínez, J Mas, M Putti
Mathematical and Computer Modelling, 2012
Quasi-Newton acceleration of ILU preconditioners for nonlinear two-phase flow equations in porous media
L Bergamaschi, R Bru, M Putti
Advances in Engineering Software 46 (1), 63-68, 2012
Parallel Rayleigh quotient optimization with FSAI‐based preconditioning
L Bergamaschi, A Martínez, G Pini
Journal of Applied Mathematics 2012 (1), 872901, 2012
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