
handle: 2108/121750 , 2158/1036010
The construction of classical hierarchical B-splines can be suitably modified in order to define locally supported basis functions that form a partition of unity. The authors show that this property can be obtained by reducing the support of basis functions defined on coarse grids, according to finer levels in the hierarchy of splines. This truncation not only decreases the overlapping of supports related to basis functions arising from different hierarchical levels, but it also improves the numerical properties of the corresponding hierarchical basis -- which is denoted as truncated hierarchical B-spline (THB-spline) basis. Several computed examples illustrate the adaptive approximation behavior obtained by using a refinement algorithm based on THB-splines.
Hierarchical tensor-product B-spline, Hierarchical tensor-product B-splines; Local refinement; Partition of unity; Truncated basis;, truncated basis, numerical examples, Local refinement, refinement algorithm, hierarchical tensor-product B-splines, partition of unity, Hierarchical tensor-product B-splines; Truncated basis; Local refinement; Partition of unity, Partition of unity, Truncated basi, Numerical computation using splines, Spline approximation, Settore MAT/08 - ANALISI NUMERICA
Hierarchical tensor-product B-spline, Hierarchical tensor-product B-splines; Local refinement; Partition of unity; Truncated basis;, truncated basis, numerical examples, Local refinement, refinement algorithm, hierarchical tensor-product B-splines, partition of unity, Hierarchical tensor-product B-splines; Truncated basis; Local refinement; Partition of unity, Partition of unity, Truncated basi, Numerical computation using splines, Spline approximation, Settore MAT/08 - ANALISI NUMERICA
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 415 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
