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20172023
most citedBalancing domain decomposition by constraints associated with subobjects

5 citations · 5 across the 2 of their papers we have counts for

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7 papers · 1 filter

math.NA2023

Model order reduction with novel discrete empirical interpolation methods in space-time

Nicholas Mueller, Santiago Badia

This work proposes novel techniques for the efficient numerical simulation of parameterized, unsteady partial differential equations. Projection-based reduced order models (ROMs) s…

math.NA2020

A robust and scalable unfitted adaptive finite element framework for nonlinear solid mechanics

Santiago Badia, Manuel Caicedo, Alberto F. Martín +1

In this work, we bridge standard adaptive mesh refinement and coarsening on scalable octree background meshes and robust unfitted finite element formulations for the automatic and…

math.NA2020

Robust and scalable h-adaptive aggregated unfitted finite elements for interface elliptic problems

Eric Neiva, Santiago Badia

This work introduces a novel, fully robust and highly-scalable, -adaptive aggregated unfitted finite element method for large-scale interface elliptic problems. The new method i…

math.NA20205 cited

Balancing domain decomposition by constraints associated with subobjects

Santiago Badia, Alberto F. Martín, Hieu Nguyen

A simple variant of the BDDC preconditioner in which constraints are imposed on a selected set of subobjects (subdomain subedges, subfaces and vertices between pairs of subedges) i…

math.NA2019

Monotonicity-preserving finite element schemes with adaptive mesh refinement for hyperbolic problems

Jesus Bonilla, Santiago Badia

This work is focused on the extension and assessment of the monotonicity-preserving scheme in [3] and the local bounds preserving scheme in [5] to hierarchical octree adaptive mesh…

math.NA2019

Embedded multilevel Monte Carlo for uncertainty quantification in random domains

Santiago Badia, Jerrad Hampton, Javier Principe

The multilevel Monte Carlo (MLMC) method has proven to be an effective variance-reduction statistical method for Uncertainty quantification in PDE models. It combines approximation…