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Isogeometric Least-Squares Collocation Method with Consistency and Convergence Analysis
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作者 LIN Hongwei xiong yunyang +2 位作者 WANG Xiao HU Qianqian REN Jingwen 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2020年第5期1656-1693,共38页
This paper presents the isogeometric least-squares collocatio method,which determines the numerical solution by making the approximate differential operator fit the real differential operator in a least-squares sense.... This paper presents the isogeometric least-squares collocatio method,which determines the numerical solution by making the approximate differential operator fit the real differential operator in a least-squares sense.The number of collocation points employed in IGA-L can be larger than that of the unknowns.Theoretical analysis and numerical examples presented in this paper show the superiority of IGA-L over state-of-the-art collocation methods.First,a small increase in the number of collocation points in IGA-L leads to a large improvement in the accuracy of its numerical solution.Second,IGA-L method is more flexible and more stable,because the number of collocation points in IGA-L is variable.Third,IGA-L is convergent in some cases of singular parameterization.Moreover,the consistency and convergence analysis are also developed in this paper. 展开更多
关键词 Collocation method consistency and convergence least-squares fitting isogeometric analysis NURBS
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