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<!doctype html public "-//w3c//dtd html 4.0 transitional//en">
<html>
<head>
<!-- this code protects against clickjacking -->
<style id="antiClickjack">body{display:none !important;}</style>
<script type="text/javascript">
if (self === top) {
var antiClickjack = document.getElementById("antiClickjack");
antiClickjack.parentNode.removeChild(antiClickjack);
} else {
top.location = self.location;
}
</script>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="GENERATOR" content="Mozilla/4.7 [en] (X11; U; IRIX 6.3 IP32) [Netscape]">
<title> Hippylib </title>
</head>
<body bgcolor="#FFFFFF">
<h3>
<font face="Arial,Helvetica;color:red"></font>
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<br>
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<h2>
<font face="Arial,Helvetica">Hippylib
</font>
</h2>
<b>Python Notebooks:</b>
<br>
<ul>
<li> FEniCS101 notebook illustrates the use of FEniCS for the solution of a linear boundary value problem (<a href="FEniCS101.ipynb">ipynb</a>, <a href="FEniCS101.html">html</a>, <a href="FEniCS101.py"> py </a>).
<li> UncontrainedMinimization notebook illustrates the use of FEniCS for the minimization of a non-quadratic energy functional (<a href="UnconstrainedMinimization.ipynb">ipynb</a>, <a href="UnconstrainedMinimization.html">html</a>, <a href="UnconstrainedMinimization.py"> py </a>).
<li> PoissonDeterministic-SD notebook illustrates the solution of an inverse problem for the coefficient field of a Poisson equation, using the steepest descent method (<a href="PoissonDeterministic-SD.ipynb">ipynb</a>, <a href="PoissonDeterministic-SD.html">html</a>, <a href="PoissonDeterministic-SD.py"> py </a>).
<li> PoissonDeterministic-InexactNewton notebook illustrates the solution of an inverse problem for the coefficient field of a Poisson equation, using the inexact Newton CG algorithm (<a href="PoissonDeterministic-InexactNewton.ipynb">ipynb</a>, <a href="PoissonDeterministic-InexactNewton.html">html</a>, <a href="PoissonDeterministic-InexactNewton.py">py</a>)
<li> <b>HessianSpectrum</b> notebook illustrates the spectral property of the Hessian operator for a linear source inversion problem (<a href="HessianSpectrum_LinearSourceInversion.html">html</a>)
<li> <b>AdvectionDiffusionBayesian</b> notebook illustrates how to solve a time-dependent linear inverse problem in a Bayesian setting using hIPPYlib (<a href="AdvectionDiffusionBayesian.html">html</a>, <a href="model_gls.py">py</a>)
<li> <b>SubsurfaceBayesian</b> notebook illustrates how to solve a non-linear parameter inversion for the Poisson equation in a Bayesian setting using hIPPYlib (<a href="SubsurfaceBayesian.html">html</a>, <a href="model_subsurf.py">py</a>)
</ul>
<br> See <a href="http://ipython.org/notebook.html"> here </a> for instructions on how to use ipython notebooks (files *.ipynb).
<br> If your system does not support ipython notebooks you can download the python scripts (files *.py).
<br><br>
<b> Notebooks utilities:</b>
<br>
<ul>
<li> <a href="nb.py"> nb.py </a>: a collection of plotting utilities using matplotlib.
</ul>
</body>
</html>