Abstract
In this article, a generalized algorithm for curve and surface
design has been presented. This algorithm is based on Ridge regression.
The subdivision schemes generated by the proposed algorithm give less
response to the outliers. The quality of proposed subdivision schemes
are also better than the least squares based subdivision schemes. Moreover, least squares based subdivision schemes are the special case of our
schemes.
Muhammad Asghar, Ghulam Mustafa. (2019) Ridge Regression Based Subdivision Schemes for Noisy Data, Punjab University Journal of Mathematics, Volume 51, Issue 3.
-
Views
409 -
Downloads
54
Article Details
Volume
Issue
Type
Language