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Introduction of Curvilinear Coordinates into Numerical Analysis

2017/07/12 by Hiroshi Isshiki, Isshiki, Hiroshi, Daisuke Kitazawa +1
Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Mathematics #General Mathematics (math.GM) #math.GM

paper · pdf · doi:10.48550/arxiv.1707.03822

arxiv created 2017/07/12 · openalex publication_date 2017/07/12 · arxiv updated 2017/07/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Introduction of curvilinear coordinates might be very convenient in many cases. Theoretically, tensor analysis would be most suited. However, tensor notation can't be used in numerical procedure. For example, the strict discrimination of upper and lower suffices is impossible in the present computer languages. In the present paper, a rather elementary approach more suited to write codes of computer programming is adapted. If we introduce curvilinear coordinates, we would be able to treat in more natural way to handle fixed discontinuity, moving discontinuity and curved boundary. We could generate fine mesh in the neighborhood of fixed and moving discontinuities. Furthermore, if we introduce curvilinear coordinates, we can transform a non-square region into square one and can use a regular mesh. Usually in numerical calculation, a curved boundary is approximated by a jagged or non-smooth boundary. An introduction of curvilinear coordinates could solve many problems in the numerical analyses.

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