Margherita Porcelli

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Benedetta MoriniUniversita degli Studi di FirenzeVerified email at unifi.it
Philippe TointProfessor (Emeritus) of Numerical OptimizationVerified email at unamur.be
Maria GirardiInstitute of Information Science and Technologies "A. Faedo" ISTI-CNRVerified email at isti.cnr.it
Cristina PadovaniInstitute of Information Science and Technologies "A. Faedo", ISTI-CNRVerified email at isti.cnr.it
Valeria SimonciniProfessor of Numerical Analysis, Universita' di BolognaVerified email at unibo.it
Daniele PellegriniInstitute of Information Science and Technologies "A.Faedo" -CNRVerified email at isti.cnr.it
Leonardo RobolDepartment of Mathematics, University of Pisa, ItalyVerified email at unipi.it
Stefania BellaviaUniversity of FlorenceVerified email at unifi.it
Martin StollTU ChemnitzVerified email at mathematik.tu-chemnitz.de
Raymond H. ChanDean of Science, City University of Hong KongVerified email at cityu.edu.hk
Jacek GondzioProfessor of Optimization, School of Mathematics, Edinburgh UniversityVerified email at ed.ac.uk
Francesco RinaldiProfessor, University of PadovaVerified email at math.unipd.it
CARLO CARCASCIDept. of Industrial Engineering, University of FlorenceVerified email at unifi.it
Cristina SgattoniPostdoctoral researcher, CNR-IACVerified email at fi.iac.cnr.it
John W PearsonReader, School of Mathematics, The University of EdinburghVerified email at ed.ac.uk
Nick GouldSTFC-Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Enrico MeliDepartment of Industrial Engineering, University of FlorenceVerified email at unifi.it
Mattia TaniUniversità di PaviaVerified email at unipv.it
Dominik GarmatterHabilitand TU ChemnitzVerified email at mathematik.tu-chemnitz.de

Margherita Porcelli

Associate Professor, University of Bologna

Verified email at unibo.it - Homepage

Mathematics Numerical Analysis Nonlinear Optimization


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The Riemannian Barzilai–Borwein method with nonmonotone line search and the matrix geometric mean computation B Iannazzo, M Porcelli IMA Journal of Numerical Analysis 38 (1), 495-517, 2018	68	2018
TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities B Morini, M Porcelli Computational Optimization and Applications 51 (1), 27-49, 2012	60	2012
Trust-region quadratic methods for nonlinear systems of mixed equalities and inequalities M Macconi, B Morini, M Porcelli Applied Numerical Mathematics 59 (5), 859-876, 2009	58	2009
BFO, a trainable derivative-free Brute Force Optimizer for nonlinear bound-constrained optimization and equilibrium computations with continuous and discrete variables M Porcelli, PL Toint ACM Transactions on Mathematical Software 44 (1), 25, 2017	55	2017
Updating the regularization parameter in the adaptive cubic regularization algorithm NIM Gould, M Porcelli, PL Toint Computational optimization and applications 53, 1-22, 2012	49	2012
Finite element model updating for structural applications M Girardi, C Padovani, D Pellegrini, M Porcelli, L Robol Journal of Computational and Applied Mathematics 370, 112675, 2020	47	2020
A reduced Newton method for constrained linear least-squares problems B Morini, M Porcelli, RH Chan Journal of Computational and Applied Mathematics 233 (9), 2200-2212, 2010	41	2010
Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems M Porcelli, V Simoncini, M Tani SIAM Journal on Scientific Computing 37 (5), S472-S502, 2015	37	2015
On the convergence of an inexact Gauss–Newton trust-region method for nonlinear least-squares problems with simple bounds M Porcelli Optimization Letters 7, 447-465, 2013	35	2013
Quasi-Newton methods for constrained nonlinear systems: complexity analysis and application L MARINI, B MORINI, M PORCELLI Computational Optimization and Applications, https://doi.org/10.1007/s10589 …, 2018	33*	2018
A Gauss–Newton method for solving bound-constrained underdetermined nonlinear systems M Macconi, B Morini, M Porcelli Optimization Methods & Software 24 (2), 219-235, 2009	28	2009
Approximate norm descent methods for constrained nonlinear systems B Morini, M Porcelli, PL Toint Mathematics of Computation 87, 1327-1351., 2018	26	2018
Interior Point Methods for PDE-Constrained Optimization Involving Sparsity Terms JW Pearson, M Porcelli, M Stoll arXiv preprint arXiv:1806.05896, 2018	23*	2018
A solution procedure for constrained eigenvalue problems and its application within the structural finite-element code NOSA-ITACA M Porcelli, V Binante, M Girardi, C Padovani, G Pasquinelli CALCOLO 52 (2), 167-186, 2015	23	2015
A new modular procedure for industrial plant simulations and its reliable implementation C Carcasci, L Marini, B Morini, M Porcelli Energy 94 (1), 380-390, 2016	20	2016
Preconditioning PDE-constrained optimization with L^1-sparsity and control constraints M Porcelli, V Simoncini, M Stoll Computers and Mathematics with Applications 74 (5), 1059-1075, 2017	17	2017
New updates of incomplete LU factorizations and applications to large nonlinear systems S Bellavia, B Morini, M Porcelli Optimization Methods and Software 29 (2), 321-340, 2014	16	2014
An inexact dual logarithmic barrier method for solving sparse semidefinite programs S Bellavia, J Gondzio, M Porcelli Mathematical Programming Ser. A, 2018	14	2018
Exploiting problem structure in derivative free optimization M Porcelli, PL Toint ACM Transactions on Mathematical Software (TOMS) 48 (1), 1-25, 2022	11*	2022
Improved penalty algorithm for mixed integer PDE constrained optimization problems D Garmatter, M Porcelli, F Rinaldi, M Stoll Computers & Mathematics with Applications 116, 2-14, 2022	10	2022

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