Published November 5, 2026 | Version v0.1.11

TrixiBottomTopography.jl

  • 1. Department of Mathematics and Computer Science, University of Cologne, Germany
  • 2. Department of Mathematics; Computational Mathematics, Linköping University, Sweden
  • 3. Numerical Mathematics, Johannes Gutenberg University Mainz, Germany
  • 4. High-Performance Scientific Computing, University of Augsburg, Germany

Description

Approximating real world data for bottom topographies

Files

trixi-framework/TrixiBottomTopography.jl-v0.1.11.zip

Files (1.2 MB)

Name Size
md5:20f376ed797f1ca59506211b29c9621a
1.2 MB Preview Download

Additional details