1974
DOI: 10.1145/360924.360971
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Scalar- and planar-valued curve fitting using splines under tension

Abstract: The spline under tension was introduced by Schweikert in an attempt to imitate cubic splines but avoid the spurious critical points they induce. The defining equations are presented here, together with an efficient method for determining the necessary parameters and computing the resultant spline. The standard scalar-valued curve fitting problem is discussed, as well as the fitting of open and closed curves in the plane. The use of these curves and the importance of the tension in the fitting of contour lines … Show more

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Cited by 220 publications
(76 citation statements)
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“…Travel time inversion is a nonlinear problem which can be linearized to obtain an iterative solution of the equation First arrival times were sampled for all 21 shots with reciprocity points embedded within the set of picks. A onedimensional spline routine [Cline, 1974] …”
mentioning
confidence: 99%
“…Travel time inversion is a nonlinear problem which can be linearized to obtain an iterative solution of the equation First arrival times were sampled for all 21 shots with reciprocity points embedded within the set of picks. A onedimensional spline routine [Cline, 1974] …”
mentioning
confidence: 99%
“…This data grid was then extended 15 minutes of latitude and longitude beyond the quadrangle boundaries in order to attenuate unwanted edge effects which inevitably result from further mathematical operations on the grid. This grid enlargement was accomplished by merging similarly projected and gridded data sets immediately adjacent to the quadrangle using analytical continuation and smoothing techniques, including application of an algorithm for splining under tension (Cline, 1974;Bhattacharyya and others, 1979;Hildenbrand, 1983).…”
Section: Geophysical Datamentioning
confidence: 99%
“…For both programs, the velocity model was described by a three dimensional grid. A cubic spline under tension (Cline, 1974) was used to interpolate the velocity and fi rst and second deri vat i ves between the nodes of the grid. In the central part of the transform, the model of Figure 5.11 simulates a crustal magma chamber.…”
Section: Structuresmentioning
confidence: 99%