Customizable adaptive regularization techniques for B-spline modeling
B-spline models are a powerful way to represent scientific data sets with a functional approximation. However, these models can suffer from spurious oscillations when the data to be approximated are not uniformly distributed. Model regularization (i.e., smoothing) has traditionally been used to mini...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2023
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |