Abstract | ||
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Under certain assumptions on the compactly supported function φ ∈ C(Rd), we propose two methods of selecting a function s from the scaled principal shift-invariant space Sh(φ) such that s interpolates a given function f at a scattered set of data locations. For both methods, the selection scheme amounts to solving a quadratic programming problem and we are able to prove error estimates similar to those obtained by Duchon for surface spline interpolation. |
Year | DOI | Venue |
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2001 | 10.1006/jath.2001.3611 | Journal of Approximation Theory |
Keywords | Field | DocType |
scattered date interpolation,selection scheme amount,scattered set,certain assumption,quadratic programming problem,data location,principal shift-invariant space,surface spline interpolation,quadratic program,support function | Mathematical optimization,Spline interpolation,Mathematical analysis,Interpolation,Invariant (mathematics),Quadratic programming,Mathematics | Journal |
Volume | Issue | ISSN |
113 | 2 | 0021-9045 |
Citations | PageRank | References |
3 | 0.45 | 0 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Michael J. Johnson | 1 | 40 | 7.82 |