Francesco Mezzadri

Orcid: 0000-0002-9779-7647

According to our database1, Francesco Mezzadri authored at least 17 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A Framework for Physics-Informed Deep Learning Over Freeform Domains.
Comput. Aided Des., July, 2023

2022
A modulus-based formulation for the vertical linear complementarity problem.
Numer. Algorithms, 2022

Projected Splitting Methods for Vertical Linear Complementarity Problems.
J. Optim. Theory Appl., 2022

Universal characteristics of deep neural network loss surfaces from random matrix theory.
CoRR, 2022

2021
A modulus-based nonsmooth Newton's method for solving horizontal linear complementarity problems.
Optim. Lett., 2021

Modulus-based matrix splitting methods for a class of horizontal nonlinear complementarity problems.
Numer. Algorithms, 2021

A spin-glass model for the loss surfaces of generative adversarial networks.
CoRR, 2021

2020
Modulus-based synchronous multisplitting methods for solving horizontal linear complementarity problems on parallel computers.
Numer. Linear Algebra Appl., 2020

Modulus-based matrix splitting methods for horizontal linear complementarity problems.
Numer. Algorithms, 2020

On the convergence of modulus-based matrix splitting methods for horizontal linear complementarity problems in hydrodynamic lubrication.
Math. Comput. Simul., 2020

A second-order measure of boundary oscillations for overhang control in topology optimization.
J. Comput. Phys., 2020

The Loss Surfaces of Neural Networks with General Activation Functions.
CoRR, 2020

On the solution of general absolute value equations.
Appl. Math. Lett., 2020

2019
Splitting Methods for a Class of Horizontal Linear Complementarity Problems.
J. Optim. Theory Appl., 2019

A nonlinearity lagging method for non-steady diffusion equations with nonlinear convection terms.
Adv. Comput. Math., 2019

2017
On the Lagged Diffusivity Method for the Solution of Nonlinear Finite Difference Systems.
Algorithms, 2017

2016
A Chebyshev technique for the solution of optimal control problems with nonlinear programming methods.
Math. Comput. Simul., 2016


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