9 citations · 12 across the 7 of their papers we have counts for
5 papers · 1 filter
A Data-Driven Computational Framework for Incompressible Flow in Hydraulic Networks
Pedro B. Bazon, Cristian G. Gebhardt, Roberto F. Ausas
The classical procedure for solving hydraulic networks relies on the assumption of constitutive equations, which state the relationship between the pressure gradient and fluxes alo…
AlgMortar: a fully algebraic multiscale mortar preconditioner
Luan F. Santos, Fabricio S. Sousa, Roberto F. Ausas +2
The solution of large-scale symmetric positive definite linear systems arising from discretizations of second-order elliptic equations is challenging, especially in applications wi…
A variational multiscale approach to PDE-constrained optimization problems arising in Data-Driven Computational Mechanics
Ramon Codina, Roberto Federico Ausas, Pedro Balbão Bazon +1
We consider the primal and dual forms of the optimality conditions for PDE-contrained optimization problems arising in Data-Driven Computational Mechanics when specialized to the r…
Numerical approximation of a PDE-constrained Optimization problem that appears in Data-Driven Computational Mechanics
Pedro B. Bazon, Cristian G. Gebhardt, Gustavo C. Buscaglia +1
We investigate an optimization problem that arises when working within the paradigm of Data-Driven Computational Mechanics. In the context of the diffusion-reaction problem, such a…
Towards HPC simulations of Billion-cell Reservoirs by Multiscale Mixed Methods
A. Jaramillo, Rafael T. Guiraldello, Stevens Paz +4
A three dimensional parallel implementation of Multiscale Mixed Methods based on non-overlapping domain decomposition techniques is proposed for multi-core computers and its comput…