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  • 65F20  (1)
  • Kronrod rules  (1)
  • singular value decomposition  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    BIT 40 (2000), S. 84-101 
    ISSN: 1572-9125
    Keywords: Adaptive quadrature ; Gauss quadrature ; Kronrod rules
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract First, the basic principles of adaptive quadrature are reviewed. Adaptive quadrature programs being recursive by nature, the choice of a good termination criterion is given particular attention. Two Matlab quadrature programs are presented. The first is an implementation of the well-known adaptive recursive Simpson rule; the second is new and is based on a four-point Gauss-Lobatto formula and two successive Kronrod extensions. Comparative test results are described and attention is drawn to serious deficiencies in the adaptive routines quad and quad8 provided by Matlab.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    BIT 34 (1994), S. 558-578 
    ISSN: 1572-9125
    Keywords: 65H10 ; 65F20 ; Least squares ; curve fitting ; singular value decomposition
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Fitting circles and ellipses to given points in the plane is a problem that arises in many application areas, e.g., computer graphics, coordinate meteorology, petroleum engineering, statistics. In the past, algorithms have been given which fit circles and ellipses insome least-squares sense without minimizing the geometric distance to the given points. In this paper we present several algorithms which compute the ellipse for which thesum of the squares of the distances to the given points is minimal. These algorithms are compared with classical simple and iterative methods. Circles and ellipses may be represented algebraically, i.e., by an equation of the formF(x)=0. If a point is on the curve, then its coordinates x are a zero of the functionF. Alternatively, curves may be represented in parametric form, which is well suited for minimizing the sum of the squares of the distances.
    Type of Medium: Electronic Resource
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