In this paper, we extend the multilevel univariate quasi-interpolation formula proposed in [A univariate quasi-multiquadric interpolation with better smoothness, Comput. Math. Appl., in press] to multidimensions using the dimension-splitting multiquadric (DSMQ) basis function approach. Our multivariate scheme is readily preformed on parallel computers. We show that the cost of finding the coefficient of the quasi-interpolant is 3dN on R-d, and the work of direct evaluation of the quasi-interpolant can be reduced from 11N(2) in 2D and 16N(2) in 3D to approximate to 2N. A boundary padding technique can be employed to improve accuracy. Numerical results in 2D and 3D are both given. (C) 2003 Elsevier Inc. All rights reserved.
机构:
Anhui Univ, Sch Big Data & Stat, Hefei, Peoples R China
Fudan Univ, Sch Math Sci, Shanghai Key Lab Contemporary Appl Math, Shanghai, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei, Peoples R China
Gao, Wenwu
Wang, Jiecheng
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Anhui Univ, Sch Big Data & Stat, Hefei, Peoples R China
Anhui Univ, Sch Econ, Dept Stat, Hefei, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei, Peoples R China
Wang, Jiecheng
Zhang, Ran
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Shanghai Univ Finance & Econ, Sch Math, Shanghai, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei, Peoples R China
机构:
Department of Natural Sciences, Hong Duc University, 565 Quang Trung, Thanh HoaDepartment of Natural Sciences, Hong Duc University, 565 Quang Trung, Thanh Hoa
Cuong N.M.
Thao M.X.
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Department of Natural Sciences, Hong Duc University, 565 Quang Trung, Thanh HoaDepartment of Natural Sciences, Hong Duc University, 565 Quang Trung, Thanh Hoa