Interpolation methods using irregularly spaced coating performance data

Eric C. Fest

doi:10.1117/12.363765

27 September 1999 Interpolation methods using irregularly spaced coating performance data

Eric C. Fest

Proceedings Volume 3780, Optical Design and Analysis Software; (1999) https://doi.org/10.1117/12.363765
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Interpolation routines based on polynomials, splines, linear triangulation, and distance weighting techniques are tested. Two data sets containing irregularly distributed point values with two independent variables (wavelength and angle of incidence) are used as input data. The accuracy of interpolated values at unvisited points and processing time are used as criteria to determine the merits of the various interpolation algorithms. Effectiveness of distance weighting methods was found to be largely dependent on the number of neighbors used. For both gradually and abruptly changing data, the most accurate models used squared inverse distance weighting. Linear triangulation was found to be the fastest method.

Citation Download Citation

Eric C. Fest "Interpolation methods using irregularly spaced coating performance data", Proc. SPIE 3780, Optical Design and Analysis Software, (27 September 1999); https://doi.org/10.1117/12.363765

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