Shepard's and Hardy's Multiquadric (and Reciprocal Multiquadric) Methods for the Trivariate Case

1,750 views · Published 17 September 2012 · 1:23:38 · Indexed 24 October 2026

Channel: UC Davis · 2012 · Education

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Lecture 8: In this lecture, professor Hamann covers gradient estimation based on local least squares approximation as well as efficiency via localization and spatial data structures (k-nearest-neighbors method and octress). He also goes into a detailed discussion of Project 2 - Scattered Data Interpolation Based on Shepard's and Hardy's Methods.

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