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  • 41A30  (1)
  • Best constrained approximation  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Advances in computational mathematics 5 (1996), S. 95-123 
    ISSN: 1572-9044
    Keywords: Analytic wavelet ; non-stationary wavelet ; radial function ; shift-invariant space ; time-frequency window ; Littlewood-Paley identity ; 41A15 ; 41A30 ; 42C15 ; 65D15
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper, we deal with a class of non-stationary multiresolution analysis and wavelets generated by certain radial basis functions. These radial basis functions are noted for their effectiveness in terms of “projection”, such as interpolation and least-squares approximation, particularly when the data structure is scattered or the dimension of ℝ s is large. Thus projecting a functionf onto a suitable multiresolution space is relatively easy here. The associated multiresolution spaces approximate sufficiently smooth functions exponentially fast. The non-stationary wavelets satisfy the Littlewood-Paley identity so that perfect reconstruction of wavelet decompositions is achieved. For the univariate case, we give a detailed analysis of the time-frequency localization of these wavelets. Two numerical examples for the detection of singularities with analytic wavelets are provided.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Constructive approximation 12 (1996), S. 361-384 
    ISSN: 1432-0940
    Keywords: Primary ; 41A65 ; Secondary ; 41A29 ; Best constrained approximation ; Shape-preserving interpolation ; Cones ; Dual cones ; Duality ; n-Convex functions ; Hilbert space
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This paper continues the study of best approximation in a Hilbert spaceX from a subsetK which is the intersection of a closed convex coneC and a closed linear variety, with special emphasis on application to then-convex functions. A subtle separation theorem is utilized to significantly extend the results in [4] and to obtain new results even for the “classical” cone of nonnegative functions. It was shown in [4] that finding best approximations inK to anyf inX can be reduced to the (generally much simpler) problem of finding best approximations to a certain perturbation off from either the coneC or a certain subconeC F. We will show how to determine this subconeC F, give the precise condition characterizing whenC F=C, and apply and strengthen these general results in the practically important case whenC is the cone ofn-convex functions inL 2 (a,b),
    Type of Medium: Electronic Resource
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