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  • AMS(MOS): 41A15, 41A25, 41A63  (1)
  • Best constrained interpolation  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 57 (1990), S. 105-121 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 41A15, 41A25, 41A63
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary Let ϕ be a compactly supported function on ℝ s andS (ϕ) the linear space withgenerator ϕ; that is,S (ϕ) is the linear span of the multiinteger translates of ϕ. It is well known that corresponding to a generator ϕ there are infinitely many quasi-interpolation formulas. A characterization of these formulas is presented which allows for their direct calculation in a variety of forms suitable to particular applications, and in addition, provides a clear formulation of the difficult problem of minimally supported quasi-interpolants. We introduce a generalization of interpolation called μ-interpolation and a notion of higher order quasi-interpolation called μ-approximation. A characterization of μ-approximants similar to that of quasi-interpolants is obtained with similar applications. Among these applications are estimating least-squares approximants without matrix inversion, surface fitting to incomplete or semi-scattered discrete data, and constructing generators with one-point quasi-interpolation formulas. It will be seen that the exact values of the generator ϕ at the multi-integers ℤ s facilitates the above study. An algorithm to yield this information for box splines is discussed.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Constructive approximation 6 (1990), S. 35-64 
    ISSN: 1432-0940
    Keywords: Conical hull ; Polar of a cone ; Best constrained interpolation ; Primary 41A65 ; Secondary 41A29 ; 41A05
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper we study the characterization of the solution to the extremal problem inf{‖x‖x ∈C ∩M}, wherex is in a Hilbert spaceH, C is a convex cone, andM is a translate of a subspace ofH determined by interpolation conditions. We introduce a simple geometric property called the “conical hull intersection property” that provides a unifying framework for most of the basic results in the subject of optimal constrained approximation. Our approach naturally lends itself to considering the data cone as opposed to the constraint cone. A nice characterization of the solution occurs, for example, if the data vector associated withM is an interior point of the data cone.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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