作者: Martin Rumpf , Alfred Schmidt , Kunibert G. Siebert
DOI: 10.1007/978-3-7091-9425-6_4
关键词: Polygon mesh 、 Data structure 、 Partial differential equation 、 Computational science 、 Rendering (computer graphics) 、 Numerical analysis 、 Interpolation 、 Visualization 、 Scientific visualization 、 Computer science
摘要: Recent numerical methods to solve partial differential equations in scientific computing are based on a variety of advanced kinds domain discretizations and appropriate finite dimensional function spaces for the solutions. The scope grids under consideration includes structured unstructured, adaptive hierarchical, conforming nonconforming meshes. might be Lagrangian or Hermitian type with higher polynomial degree possibly discontinuous over element boundaries. Unfortunately, rendering tools visualization mostly restricted special data structures which differ substantially from formats used application. This forces users map interpolate their data, is time consuming, storage extensive, accompanied interpolation errors.