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hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs

Villa, Umberto; Petra, Noemi; Ghattas, Omar


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.7471119", 
  "title": "hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs", 
  "issued": {
    "date-parts": [
      [
        2022, 
        12, 
        21
      ]
    ]
  }, 
  "abstract": "<ul>\n\t<li>Switch to GitHub Actions for CI</li>\n\t<li>Introduce a new function <code>BiLaplacianComputeCoefficients</code> to estimate the PDE coefficient based on a prescribed marginal variance and correlation length</li>\n\t<li>Allow <code>BiLaplacianPrior</code> to take spatially varying coefficients as input</li>\n\t<li>Add support for non-Gaussian noise models</li>\n\t<li>Introduce utilities to interpolate cartesian data (expressed as <code>numpy</code> arrays) on a <code>dolfin</code> mesh.</li>\n</ul>", 
  "author": [
    {
      "family": "Villa, Umberto"
    }, 
    {
      "family": "Petra, Noemi"
    }, 
    {
      "family": "Ghattas, Omar"
    }
  ], 
  "note": "If you use this software, please cite it as below.", 
  "version": "3.1.0", 
  "type": "article", 
  "id": "7471119"
}
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