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A study on convergence and complexity of reproducing kernel collocation method
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  • A study on convergence and complexity of reproducing kernel collocation method
  • A study on convergence and complexity of reproducing kernel collocation method
저자명
Hu. Hsin-Yun,Lai. Chiu-Kai,Chen. Jiun-Shyan
간행물명
Interaction and multiscale mechanics
권/호정보
2009년|2권 3호|pp.295-319 (25 pages)
발행정보
테크노프레스
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In this work, we discuss a reproducing kernel collocation method (RKCM) for solving $2^{nd}$ order PDE based on strong formulation, where the reproducing kernel shape functions with compact support are used as approximation functions. The method based on strong form collocation avoids the domain integration, and leads to well-conditioned discrete system of equations. We investigate the convergence and the computational complexity for this proposed method. An important result obtained from the analysis is that the degree of basis in the reproducing kernel approximation has to be greater than one for the method to converge. Some numerical experiments are provided to validate the error analysis. The complexity of RKCM is also analyzed, and the complexity comparison with the weak formulation using reproducing kernel approximation is presented.