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Section Navigation

  • 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
  • Gallery
  • User Guide
  • Gravity

Gravity#

Forward Simulation of Gravity Anomaly Data on a Tensor Mesh

Forward Simulation of Gravity Anomaly Data on a Tensor Mesh

Forward Simulation of Gradiometry Data on a Tree Mesh

Forward Simulation of Gradiometry Data on a Tree Mesh

Least-Squares Inversion of Gravity Anomaly Data

Least-Squares Inversion of Gravity Anomaly Data

Sparse Norm Inversion of Gravity Anomaly Data

Sparse Norm Inversion of Gravity Anomaly Data

Compare weighting strategy with Inversion of surface Gravity Anomaly Data

Compare weighting strategy with Inversion of surface Gravity Anomaly Data

Download all examples in Python source code: 03-gravity_python.zip

Download all examples in Jupyter notebooks: 03-gravity_jupyter.zip

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Sparse Inversion with Iteratively Re-Weighted Least-Squares

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Forward Simulation of Gravity Anomaly Data on a Tensor Mesh

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