Trivariate Local Lagrange Interpolation and Macro Elements of Arbitrary Smoothness

Trivariate Local Lagrange Interpolation and Macro Elements of Arbitrary Smoothness

by Michael Andreas Matt

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Michael A. Matt constructs two trivariate local Lagrange interpolation methods which yield optimal approximation order and Cr macro-elements based on the Alfeld and the Worsey-Farin split of a tetrahedral partition. The first interpolation method is based on cubic C1 splines over type-4 cube partitions, for which numerical tests are given. The second is the first trivariate Lagrange interpolation method using C2 splines. It is based on arbitrary tetrahedral partitions using splines of degree nine. The author constructs trivariate macro-elements based on the Alfeld split, where each tetrahedron is divided into four subtetrahedra, and the Worsey-Farin split, where each tetrahedron is divided into twelve subtetrahedra, of a tetrahedral partition. In order to obtain the macro-elements based on the Worsey-Farin split minimal determining sets for Cr macro-elements are constructed over the Clough-Tocher split of a triangle, which are more variable than those in the literature.

Discussion questions for Trivariate Local Lagrange Interpolation and Macro Elements of Arbitrary Smoothness

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  1. 1

    How did the tension between the theoretical foundations of trivariate local Lagrange interpolation and its practical numerical applications resonate with your own experiences of balancing theory and practice?

  2. 2

    In what ways does Matt's exploration of optimal approximation order serve as a metaphor for striving for precision and efficiency in our everyday problem-solving?

  3. 3

    If you were to cast the Alfeld and the Worsey-Farin splits as characters in a drama, how would you describe their contrasting approaches to tetrahedral partitioning and collaboration?

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