Multi-resolution Isogeometric Analysis -- Efficient adaptivity utilizing the multi-patch structure
Stefan Tyoler, Stefan Takacs

TL;DR
This paper introduces a multi-resolution isogeometric analysis method that enhances adaptive refinement in multi-patch spline-based domains by using different grid sizes across patches, improving efficiency and convergence.
Contribution
The authors propose a novel approach that moderately increases patches and varies grid sizes to enable efficient adaptivity without complex local refinement strategies.
Findings
Reuses existing code bases for multi-patch IgA
Achieves convergence rates comparable to other adaptive methods
Marginal increase in degrees of freedom
Abstract
Isogeometric Analysis (IgA) is a spline based approach to the numerical solution of partial differential equations. There are two major issues that IgA was designed to address. The first issue is the exact representation of domains stemming from Computer Aided Design (CAD) software. In practice, this can be realized only with multi-patch IgA, often in combination with trimming or similar techniques. The second issue is the realization of high-order discretizations (by increasing the spline degree) with numbers of degrees of freedom comparable to low-order methods. High-order methods can deliver their full potential only if the solution to be approximated is sufficiently smooth; otherwise, adaptive methods are required. In the last decades, a zoo of local refinement strategies for splines has been developed. The authors think that many of these approaches are a burden to implement…
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Computational Geometry and Mesh Generation · Computer Graphics and Visualization Techniques
