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  • API Reference
  • Release Notes
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  • User Guide
  • API Reference
  • Release Notes
  • User Tutorials
  • SimPEG
  • Contact
  • GitHub
  • Mattermost
  • Discourse
  • Youtube

Section Navigation

Getting Started

  • What’s SimPEG?
  • Why SimPEG?
  • Installing
  • Contributing to SimPEG
  • Citing SimPEG
  • Version compatibility

How to Guide

  • Choosing solvers
  • Locating mesh on survey area

Tutorials

  • Models and Mapping
  • Linear Problems
  • Gravity
    • Forward Simulation of Gravity Anomaly Data on a Tensor Mesh
    • Forward Simulation of Gradiometry Data on a Tree Mesh
    • Least-Squares Inversion of Gravity Anomaly Data
    • Sparse Norm Inversion of Gravity Anomaly Data
    • Compare weighting strategy with Inversion of surface Gravity Anomaly Data
  • Magnetics
  • Direct Current Resistivity
  • Induced Polarization
  • Frequency-Domain Electromagnetics
  • Time-Domain Electromagnetics
  • Natural Source Electromagnetics
  • Viscous Remanent Magnetization
  • Flow
  • Seismic
  • Joint Inversion
  • Petrophysically Guided Inversion

Examples

  • Gallery
  • SimPEG User Guide
  • Gravity
  • Sparse Norm Inversion of Gravity Anomaly Data

Note

Go to the end to download the full example code.

Sparse Norm Inversion of Gravity Anomaly Data#

Important

This tutorial has been moved to User Tutorials.

Checkout the Iteratively Re-weighted Least-Squares (IRLS) Inversion on a Tree Mesh section in the 3D Inversion of Gravity Anomaly Data tutorial.

Total running time of the script: (0 minutes 0.000 seconds)

Estimated memory usage: 319 MB

Download Jupyter notebook: plot_inv_1b_gravity_anomaly_irls.ipynb

Download Python source code: plot_inv_1b_gravity_anomaly_irls.py

Download zipped: plot_inv_1b_gravity_anomaly_irls.zip

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Least-Squares Inversion of Gravity Anomaly Data

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Compare weighting strategy with Inversion of surface Gravity Anomaly Data

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