A Simplified Interpolating Moving Least-Squares Method and its Error Estimates

Abstract:

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A disadvantage of the MLS approximation is that the shape function of this method does not satisfy the property of Kronecker Delta function. Thus developing an interpolating MLS approximation is very important. In this paper, the interpolating moving least-squares (IMLS) method presented by Lancaster and Salkauskas is discussed in detail and a simplified expression of the approximation function of the IMLS method is given. The simpler expression makes it more convenient to use this method. The error estimate of the approximation function also is discussed. And a numerical example is given to confirm the results.

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Periodical:

Edited by:

Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li

Pages:

271-274

DOI:

10.4028/www.scientific.net/AMM.101-102.271

Citation:

J. F. Wang "A Simplified Interpolating Moving Least-Squares Method and its Error Estimates", Applied Mechanics and Materials, Vols. 101-102, pp. 271-274, 2012

Online since:

September 2011

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$35.00

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