Accurate monotonicity-preserving cubic interpolation
A simple and effective algorithm to construct a monotonicity-preserving cubic Hermite interpolant for data with rapid variations is presented. Constraining the derivatives of the interpolant according to geometric considerations makes the interpolant consistent with local monotonicity properties of the data. Numerical examples are given that compare the quality and accuracy of the proposed interpolation method with other standard interpolants.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 5328033
- Report Number(s):
- LA-8796-MS; ON: DE82009964
- Country of Publication:
- United States
- Language:
- English
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