activity
20242026
most citedLevel-set topology optimisation with unfitted finite elements and automatic shape differentiation

7 citations · 14 across the 5 of their papers we have counts for

collaborators

7 papers

math.NA2026

Geometric multigrid preconditioners for unfitted discretisations of the de Rham complex

Santiago Badia, Jordi Manyer

We propose two families of multigrid preconditioners for unfitted finite element discretisations of the Riesz maps of the de Rham complex, in H(grad), H(curl) and H(div), stabilise…

math.NA2026

Rotating bases for finite element exterior calculus: closed-form change of basis under vertex permutations

Santiago Badia, Jordi Manyer, Antoine Marteau

The geometrically decomposed bases of the polynomial differential form spaces and on a simplex are products of a barycentric scalar polynomi…

cs.MS2026

A natural language framework for non-conforming hybrid polytopal methods in Gridap.jl

Jordi Manyer, Jai Tushar, Santiago Badia

Hybrid finite element methods such as hybridizable discontinuous Galerkin, hybrid high-order and weak Galerkin have emerged as powerful techniques for solving partial differential…

math.NA2026

Geometric Multigrid solvers for Hybrid High-Order methods on polytopal meshes

Santiago Badia, Jordi Manyer

We propose the first optimal geometric multigrid solver for hybrid high-order discretisations that can handle arbitrary polytopal agglomeration hierarchies in both two and three di…

math.NA2025

Analysis of BDDC preconditioners for non-conforming polytopal hybrid discretisation methods

Santiago Badia, Jerome Droniou, Jordi Manyer +1

In this work, we build on the discrete trace theory developed by Badia, Droniou, and Tushar (Foundations of Computational Mathematics, in press, 2025; \href{https://doi.org/10.1007…

math.OC2025★ 7 cited

Level-set topology optimisation with unfitted finite elements and automatic shape differentiation

Zachary J. Wegert, Jordi Manyer, Connor Mallon +2

In this paper we develop automatic shape differentiation techniques for unfitted discretisations and link these to recent advances in shape calculus for unfitted methods. We extend…

cs.MS2024★ 7 cited

GridapTopOpt.jl: A scalable Julia toolbox for level set-based topology optimisation

Zachary J. Wegert, Jordi Manyer, Connor Mallon +2

In this paper we present GridapTopOpt, an extendable framework for level set-based topology optimisation that can be readily distributed across a personal computer or high-performa…