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ABSTRACT
This article describes a general-purpose method for computing interpolating polynomial splines with arbitrary constraints on their shape and satisfying separable or nonseparable boundary conditions. Examples of applications of the related Fortran code are periodic shape-preserving spline intepolation and the construction of visually pleasing closed curves.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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REVIEW
"Richard Franke : Reviewer"
An algorithm for constructing a monotonicity- and
convexity-preserving spline function that interpolates given data is
presented. A unique feature of this method is that the boundary
conditions may be either separable or nonseparable. The degr
more...
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