Refined error estimates for matrix-valued radial basis functions
Radial basis functions (RBFs) are probably best known for their applications to scattered data problems. Until the 1990s, RBF theory only involved functions that were scalar-valued. Matrix-valued RBFs were subsequently introduced by Narcowich and Ward in 1994, when they constructed divergence-free v...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2007
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| Online Access: | http://hdl.handle.net/1969.1/5788 |