Asymptotic Iterative Approximation of Intellectualized Periodic Interpolating Spline and its Application
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@Article{JICS-1-47,
author = {},
title = {Asymptotic Iterative Approximation of Intellectualized Periodic Interpolating Spline and its Application},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {1},
number = {1},
pages = {47--52},
abstract = { This paper presents an efficient and sufficient algorithm to approximate general interpolating
Spline curve which goes through the given set of design-data points by using asymptotic iterative B-spline
curves. Firstly, the given set is considered as the control points of a B-spline, to create the initial approximate
curve, then the iterative grade is built based on the error between the initial approximate curve and given set,
it is used to generate an iterative function sequence to approximate the interpolating function of the cover.
New algorithms and approaches are successfully employed to create realistic and flexible geometry models
for the centerline of yarns in woven fabrics. The algorithm described on this paper will be generalized to
wide range for general 2D and 3D geometry and computer graphics with regard to curves and surfaces,
especially for complex geometrical models on CAD and CAM.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22859.html}
}
TY - JOUR
T1 - Asymptotic Iterative Approximation of Intellectualized Periodic Interpolating Spline and its Application
AU -
JO - Journal of Information and Computing Science
VL - 1
SP - 47
EP - 52
PY - 2024
DA - 2024/01
SN - 1
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22859.html
KW - Geometric reasoning
KW - Mathematical Model
KW - Computer Graphics, Spline Function, Computational
Geometry, Woven Fabrics.
AB - This paper presents an efficient and sufficient algorithm to approximate general interpolating
Spline curve which goes through the given set of design-data points by using asymptotic iterative B-spline
curves. Firstly, the given set is considered as the control points of a B-spline, to create the initial approximate
curve, then the iterative grade is built based on the error between the initial approximate curve and given set,
it is used to generate an iterative function sequence to approximate the interpolating function of the cover.
New algorithms and approaches are successfully employed to create realistic and flexible geometry models
for the centerline of yarns in woven fabrics. The algorithm described on this paper will be generalized to
wide range for general 2D and 3D geometry and computer graphics with regard to curves and surfaces,
especially for complex geometrical models on CAD and CAM.
. (2024). Asymptotic Iterative Approximation of Intellectualized Periodic Interpolating Spline and its Application.
Journal of Information and Computing Science. 1 (1).
47-52.
doi:
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