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Francesco Mezzadri
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2020 – today
- 2023
- [j14]Francesco Mezzadri
, Joshua Gasick, Xiaoping Qian
:
A Framework for Physics-Informed Deep Learning Over Freeform Domains. Comput. Aided Des. 160: 103520 (2023) - 2022
- [j13]Francesco Mezzadri
, Emanuele Galligani
:
Projected Splitting Methods for Vertical Linear Complementarity Problems. J. Optim. Theory Appl. 193(1): 598-620 (2022) - [j12]Francesco Mezzadri
:
A modulus-based formulation for the vertical linear complementarity problem. Numer. Algorithms 90(4): 1547-1568 (2022) - [i3]Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel, Diego Granziol:
Universal characteristics of deep neural network loss surfaces from random matrix theory. CoRR abs/2205.08601 (2022) - 2021
- [j11]Francesco Mezzadri
, Emanuele Galligani:
Modulus-based matrix splitting methods for a class of horizontal nonlinear complementarity problems. Numer. Algorithms 87(2): 667-687 (2021) - [j10]Francesco Mezzadri
, Emanuele Galligani:
A modulus-based nonsmooth Newton's method for solving horizontal linear complementarity problems. Optim. Lett. 15(5): 1785-1798 (2021) - [i2]Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri
, Joseph Najnudel:
A spin-glass model for the loss surfaces of generative adversarial networks. CoRR abs/2101.02524 (2021) - 2020
- [j9]Francesco Mezzadri
:
On the solution of general absolute value equations. Appl. Math. Lett. 107: 106462 (2020) - [j8]Francesco Mezzadri
, Xiaoping Qian
:
A second-order measure of boundary oscillations for overhang control in topology optimization. J. Comput. Phys. 410: 109365 (2020) - [j7]Francesco Mezzadri
, Emanuele Galligani:
On the convergence of modulus-based matrix splitting methods for horizontal linear complementarity problems in hydrodynamic lubrication. Math. Comput. Simul. 176: 226-242 (2020) - [j6]Francesco Mezzadri
, Emanuele Galligani:
Modulus-based matrix splitting methods for horizontal linear complementarity problems. Numer. Algorithms 83(1): 201-219 (2020) - [j5]Francesco Mezzadri
:
Modulus-based synchronous multisplitting methods for solving horizontal linear complementarity problems on parallel computers. Numer. Linear Algebra Appl. 27(5) (2020) - [i1]Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel:
The Loss Surfaces of Neural Networks with General Activation Functions. CoRR abs/2004.03959 (2020)
2010 – 2019
- 2019
- [j4]Francesco Mezzadri
, Emanuele Galligani:
A nonlinearity lagging method for non-steady diffusion equations with nonlinear convection terms. Adv. Comput. Math. 45(3): 1185-1220 (2019) - [j3]Francesco Mezzadri
, Emanuele Galligani:
Splitting Methods for a Class of Horizontal Linear Complementarity Problems. J. Optim. Theory Appl. 180(2): 500-517 (2019) - 2017
- [j2]Francesco Mezzadri
, Emanuele Galligani:
On the Lagged Diffusivity Method for the Solution of Nonlinear Finite Difference Systems. Algorithms 10(3): 88 (2017) - 2016
- [j1]Francesco Mezzadri
, Emanuele Galligani:
A Chebyshev technique for the solution of optimal control problems with nonlinear programming methods. Math. Comput. Simul. 121: 95-108 (2016)
Coauthor Index
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