M. Porcelli

发表

An inexact dual logarithmic barrier method for solving sparse semidefinite programs

J. Gondzio, S. Bellavia, M. Porcelli, 2018, Mathematical Programming.

On the convergence of an inexact Gauss–Newton trust-region method for nonlinear least-squares problems with simple bounds

M. Porcelli, 2011, Optimization Letters.

A spectral PALM algorithm for matrix and tensor-train based Dictionary Learning

V. Simoncini, D. Brandoni, M. Porcelli, 2021, 2107.11644.

A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion pdf

Jacek Gondzio, Stefania Bellavia, Margherita Porcelli, 2019, Journal of Scientific Computing.

Exploiting Problem Structure in Derivative Free Optimization

P. Toint, M. Porcelli, 2022, ACM Trans. Math. Softw..

BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables

Philippe L. Toint, Margherita Porcelli, P. Toint, 2017, ACM Trans. Math. Softw..

Global and local information in structured derivative free optimization with BFO

P. Toint, M. Porcelli, 2020, 2001.04801.

Trust-region quadratic methods for nonlinear systems of mixed equalities and inequalities

Benedetta Morini, Margherita Porcelli, M. Macconi, 2009 .

A solution procedure for constrained eigenvalue problems and its application within the structural finite-element code NOSA-ITACA

Margherita Porcelli, Maria Girardi, Cristina Padovani, 2015 .

A solution procedure for constrained eigenvalue problems and its application within the structural finite-element code NOSA-ITACA

C. Padovani, G. Pasquinelli, M. Girardi, 2014, Calcolo.

The Riemannian Barzilai–Borwein method with nonmonotone line search and the matrix geometric mean computation

Bruno Iannazzo, Margherita Porcelli, B. Iannazzo, 2018 .

A variable fixing version of the two-block nonlinear constrained Gauss–Seidel algorithm for $$\ell _1$$ℓ1-regularized least-squares

Margherita Porcelli, Francesco Rinaldi, F. Rinaldi, 2014, Comput. Optim. Appl..

Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications

B. Morini, E. Meli, Cristina Sgattoni, 2020, Journal of Scientific Computing.

Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications

B. Morini, M. Porcelli, Leopoldo Marini, 2018, Computational Optimization and Applications.

Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications

Benedetta Morini, Margherita Porcelli, Leopoldo Marini, 2018, Comput. Optim. Appl..

Approximate norm descent methods for constrained nonlinear systems

Benedetta Morini, Philippe L. Toint, Margherita Porcelli, 2018, Math. Comput..

QUASI-NEWTON METHODS FOR CONVEX CONSTRAINED NONLINEAR SYSTEMS AND THEIR

B. Morini, M. Porcelli, Leopoldo Marini, 2022 .

Updating the regularization parameter in the adaptive cubic regularization algorithm

Nicholas I. M. Gould, Philippe L. Toint, Margherita Porcelli, 2012, Comput. Optim. Appl..

Preconditioning PDE-constrained optimization with L1-sparsity and control constraints

Martin Stoll, Valeria Simoncini, Margherita Porcelli, 2016, Comput. Math. Appl..

PRECONDITIONING ISSUES IN THE NUMERICAL SOLUTION OF NONLINEAR EQUATIONS AND NONLINEAR LEAST SQUARES

S. Bellavia, Margherita Porcelli, M. Porcelli, 2014 .

An inexact dual logarithmic barrier method for solving sparse semidefinite programs

Jacek Gondzio, Stefania Bellavia, Margherita Porcelli, 2018, Mathematical Programming.

Journal of Computational and Applied Mathematics a Reduced Newton Method for Constrained Linear Least-squares Problems

Raymond H. Chan, Benedetta Morini, Margherita Porcelli, 2022 .

Improved penalty algorithm for mixed integer PDE constrained optimization problems

DOMINIK GARMATTER, MARGHERITA PORCELLI, FRANCESCO RINALDI, 2019, Comput. Math. Appl..

Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems pdf

Margherita Porcelli, Francesco Rinaldi, Dominik Garmatter, 2019, ArXiv.

A semidefinite programming approach for the projection onto the cone of negative semidefinite symmetric tensors with applications to solid mechanics

C. Padovani, M. Porcelli, 2022, Calcolo.

New updates of incomplete LU factorizations and applications to large nonlinear systems

Stefania Bellavia, Benedetta Morini, Margherita Porcelli, 2014, Optim. Methods Softw..

Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function

Nicolas Gillis, A. Vandaele, M. Porcelli, 2023, ArXiv.

On the global convergence of a new spectral residual algorithm for nonlinear systems of equations

A. Papini, Margherita Porcelli, Cristina Sgattoni, 2020, Bollettino dell'Unione Matematica Italiana.

Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems

Valeria Simoncini, Margherita Porcelli, Mattia Tani, 2014, SIAM J. Sci. Comput..

N A ] 2 2 M ay 2 01 5 PRECONDITIONING OF ACTIVE-SET NEWTON METHODS FOR PDE-CONSTRAINED OPTIMAL CONTROL PROBLEMS

V. Simoncini, Mattia Tani, M. Porcelli, 2021 .

On the convergence of an inexact Gauss–Newton trust-region method for nonlinear least-squares problems with simple bounds

Margherita Porcelli, M. Porcelli, 2013, Optim. Lett..

A Gauss–Newton method for solving bound-constrained underdetermined nonlinear systems

Benedetta Morini, Maria Macconi, Margherita Porcelli, 2009, Optim. Methods Softw..

TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities

Benedetta Morini, Margherita Porcelli, B. Morini, 2012, Comput. Optim. Appl..

Finite element model updating for structural applications

Margherita Porcelli, Maria Girardi, Cristina Padovani, 2018, J. Comput. Appl. Math..

Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications

Enrico Meli, Benedetta Morini, Margherita Porcelli, 2020, Journal of Scientific Computing.