NANAApr 5, 2018

Robust approximation error estimates and multigrid solvers for isogeometric multi-patch discretizations

arXiv:1709.0537527 citationsh-index: 9
AI Analysis

For practitioners of isogeometric analysis, this work enables efficient solvers for complex multi-patch domains, which are common in real-world CAD models.

The paper extends robust approximation error estimates and multigrid solvers from single-patch to multi-patch discretizations in isogeometric analysis, achieving convergence rates robust in grid size and spline degree.

In recent publications, the author and his coworkers have shown robust approximation error estimates for B-splines of maximum smoothness and have proposed multigrid methods based on them. These methods allow to solve the linear system arizing from the discretization of a partial differential equation in Isogeometric Analysis in a single-patch setting with convergence rates that are provably robust both in the grid size and the spline degree. In real-world problems, the computational domain cannot be nicely represented by just one patch. In computer aided design, such domains are typically represented as a union of multiple patches. In the present paper, we extend the approximation error estimates and the multigrid solver to this multi-patch case.

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