Approximating to nonparameterized minimal surface with B-spline surface

被引：0
|
作者：
Man, Jia-Ju [1 ,2 ]
Wang, Guo-Zhao [2 ]
机构：
[1] Dept. of Comp. Sci., Hu'nan Normal Univ., Changsha 410081, China
[2] Inst. of Comp. Graphics, Dept. of Math., Zhejiang Univ., Hangzhou 310027, China
来源：
Ruan Jian Xue Bao/Journal of Software | 2003年 / 14卷 / 04期
关键词：
Approximation theory - Finite element method - Geometry - Nonlinear programming - Optimization - Surfaces;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The minimal surfaces are extensively employed in many areas such as architecture, aviation, ship manufacture, and so on. However, the complexity of the minimal surface equation prevents people from modeling the minimal surface in CAD/CAGD. Based on the nonlinear programming and the FEM (finite element method), the approximation to the solution of the minimal surface equation bounded by Bezier or B-spline curves is investigated. A global method, which is called numerical extension method, is appealed to in the whole iterative process and linearize the nonlinear finite element system by using a simple iteration. Some numerical results are given.
引用
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页码：824 / 829
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