Algorithm 761: Scattered-data surface fitting that has the accuracy of a cubic polynomial

Authors:
Hiroshi Akima
Affiliations:
NTIA/ITS.N4, Boulder, CO
Venue:
ACM Transactions on Mathematical Software (TOMS)
Year:
1996

Citing 4
Cited 4

Multivariate interpolation of large sets of scattered data

ACM Transactions on Mathematical Software (TOMS)
A method of univariate interpolation that has the accuracy of a third-degree polynomial

ACM Transactions on Mathematical Software (TOMS)
Algorithm 751: TRIPACK: a constrained two-dimensional Delaunay triangulation package

ACM Transactions on Mathematical Software (TOMS)
Algorithm 526: Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points [E1]

ACM Transactions on Mathematical Software (TOMS)

Remark on algorithm 761

ACM Transactions on Mathematical Software (TOMS)
Algorithm 792: accuracy test of ACM algorithms for interpolation of scattered data in the plane

ACM Transactions on Mathematical Software (TOMS)
Remark on Algorithm 761: scattered-data surface fitting that has the accuracy of a cubic polynomial

ACM Transactions on Mathematical Software (TOMS)
A case study in database reliability: component types, usage profiles, and testing

Proceedings of the 1st international workshop on Testing database systems

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Abstract

An algorithm for smooth surface fitting for scattered data has been presented. It has the accuracy of a cubic polynomial in most cases and is a local, triangle-based algorithm.