
doi: 10.1137/0901024
The development of theory and algorithms relating to interpolation to data by functions which preserve the monotonicity and/or convexity of the data is presented. The functions used for interpolation are polynomials, piecewise polynomials, polynomial splines and exponential splines. The techniques emphasized are the shape-preserving splines of the author, although some discussion of alternate techniques is given.
Spline approximation, piecewise polynomials, Numerical interpolation, polynomial splines, shape preservation, exponential splines, Numerical computation using splines
Spline approximation, piecewise polynomials, Numerical interpolation, polynomial splines, shape preservation, exponential splines, Numerical computation using splines
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