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Linear inversion

These notebooks accompany the article in the December 2016 issue of The Leading Edge.

There are four notebooks. The main one, that follows the manuscript most closely, is the IPython/NumPy version. The others implement the same workflow, more or less, in Lua/Torch7, in Julia, and in R.

  • NumPy — Python language with NumPy numerics
  • Torch — Lua language with Torch7 numercics
  • Julia — Julia programming language
  • R — R programming language

Code and article © Agile Geoscience and licensed openly under CC-BY (text and figures) and Apache 2 (code). This means you can use them with attribution for any purpose!