A new perspective on hierarchical spline spaces for adaptivity
This work provides a theoretical foundation for adaptive isogeometric methods, addressing key challenges in basis construction for practitioners in computational geometry and numerical simulation.
The paper introduces a hierarchical spline framework based on a parent-children relation that enables control over basis function overlapping and linear independence, with the resulting basis cardinality bounded by the number of initially marked functions.
We introduce a framework for spline spaces of hierarchical type, based on a parent-children relation, which is very convenient for the analysis as well as the implementation of adaptive isogeometric methods. Such framework makes it simple to create hierarchical \emph{basis} with \emph{control on the overlapping}. Linear independence is always desired for the well posedness of the linear systems, and to avoid redundancy. The control on the overlapping of basis functions from different levels is necessary to close theoretical arguments in the proofs of optimality of adaptive methods. In order to guarantee linear independence, and to control the overlapping of the basis functions, some basis functions additional to those initially marked must be refined. However, with our framework and refinement procedures, the complexity of the resulting bases is under control, i.e., the resulting bases have cardinality bounded by the number of initially marked functions.