The Multivariate Spline Method for Scattered Data Fitting and Numerical Solutions of Partial Differential Equations

نویسندگان

  • Gerard Awanou
  • Ming-Jun Lai
  • Paul Wenston
  • Charles K. Chui
چکیده

Multivariate spline functions are smooth piecewise polynomial functions over triangulations consisting of n-simplices in the Euclidean space IR. A straightforward method for using these spline functions to fit given scattered data and numerically solve elliptic partial differential equations is presented . This method does not require constructing macro-elements or locally supported basis functions nor computing the dimension of the finite element spaces or spline spaces. The method for splines in IR and IR has been implemented in MATLAB. Several numerical examples are shown to demonstrate the effectiveness and efficiency of the method. Table of

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تاریخ انتشار 2006