( en | de | ru )

 

Disambiguation of "Porcelli, Margherita"

Author of the publication

copydeleteadd this publication to your clipboard
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems.

, , , and . CoRR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Margherita Behn

Margherita Brentano

Margherita Goltzsche

Margherita Barile

Margherita Milite

 

Other publications of authors with the same name

A Tensor-Train Dictionary Learning algorithm based on Spectral Proximal Alternating Linearized Minimization., , and . CoRR, (2021)A reduced Newton method for constrained linear least-squares problems., , and . J. Comput. Appl. Math., 233 (9): 2200-2212 (2010)On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds.. Optim. Lett., 7 (3): 447-465 (2013)An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations., , , and . Comput. Optim. Appl., 84 (1): 191-223 (2023)Exploiting Problem Structure in Derivative Free Optimization., and . ACM Trans. Math. Softw., 48 (1): 6:1-6:25 (2022)Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function., , , , and . MLSP, page 1-6. IEEE, (2023)Preconditioning PDE-constrained optimization with L1-sparsity and control constraints., , and . Comput. Math. Appl., 74 (5): 1059-1075 (2017)Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems., , and . SIAM J. Sci. Comput., (2015)BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables., and . ACM Trans. Math. Softw., 44 (1): 6:1-6:25 (2017)Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications., , , and . CoRR, (2020)