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Volume 3, Issue 1
Modeling of Distributed Manufacturing Systems

J. Info. Comput. Sci. , 3 (2008), pp. 03-13.

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  • Abstract
Reference [1] 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. Two theorems were given in reference [1], but didn't get proved. In this text, we give a general proof based on the preceding context and several other references. In the meantime, numerical experiments further prove that this algorithm is really simple and valid.
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@Article{JICS-3-03, author = {}, title = {Modeling of Distributed Manufacturing Systems}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {3}, number = {1}, pages = {03--13}, abstract = {Reference [1] 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. Two theorems were given in reference [1], but didn't get proved. In this text, we give a general proof based on the preceding context and several other references. In the meantime, numerical experiments further prove that this algorithm is really simple and valid. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22779.html} }
TY - JOUR T1 - Modeling of Distributed Manufacturing Systems AU - JO - Journal of Information and Computing Science VL - 1 SP - 03 EP - 13 PY - 2024 DA - 2024/01 SN - 3 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22779.html KW - AB - Reference [1] 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. Two theorems were given in reference [1], but didn't get proved. In this text, we give a general proof based on the preceding context and several other references. In the meantime, numerical experiments further prove that this algorithm is really simple and valid.
. (2024). Modeling of Distributed Manufacturing Systems. Journal of Information and Computing Science. 3 (1). 03-13. doi:
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