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DivSigGrad

Julia Package for Inverse Conducitivity Problems

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DivSigGrad.jl

jInv Extension for solving Inverse Conductivity Problems. It supports various mesh types (regular meshes, stretched tensor meshes, OcTree meshes), different PDE solvers (direct and iterative) and allows to easily parallelize inversions when multiple sources are available.

Requirements

This package is intended to use with julia versions 0.6.x.

This package is an add-on for jInv, which needs to be installed.

To accelerate the PDE solves, it is also recommended to install ParSpMatVec when using iterative solvers or MUMPS as a direct solver. If these modules are available, they are used by default.

Installation

To use this package, start julia and type:

Pkg.clone("https://github.com/JuliaInv/jInv.jl","jInv")
Pkg.clone("https://github.com/JuliaInv/DivSigGrad.jl","DivSigGrad")
Pkg.test("DivSigGrad")

Examples

A 3D inversion example can be found here.

First Commit

03/07/2016

Last Touched

3 months ago

Commits

40 commits

Requires:

Used By: