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- 한국전산응용수학회 Journal of applied mathematics & computing Journal of applied mathematics & computing 제23권 제1호
- 발행연도
- 2007.1
- 수록면
- 435 - 443 (9page)
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An important approach towards solving the scattered data problem is by using radial basis functions. However, for a large class of smooth basis functions such as Gaussians, the existing theories guarantee the interpolant to approximate well only for a very small class of very smooth approximate which is the so-called 'native' space. The approximands f need to be extremely smooth. Hence, the purpose of this paper is to study approximation by a scattered shifts of a radial basis functions. We provide error estimates on larger spaces, especially on the homogeneous Sobolev spaces.
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