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@ -117,6 +117,14 @@ It is based on the <strong>gamma method</strong> <a href="https://arxiv.org/abs/
<li><strong>real and complex matrix operations</strong> and their error propagation based on automatic differentiation (Cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...)</li>
</ul>
<p>There exist similar publicly available implementations of gamma method error analysis suites in</p>
<ul>
<li><a href="https://gitlab.ift.uam-csic.es/alberto/aderrors">Fortran</a></li>
<li><a href="https://gitlab.ift.uam-csic.es/alberto/aderrors.jl">Julia</a></li>
<li><a href="https://github.com/mbruno46/pyobs">Python</a></li>
</ul>
<h2 id="basic-example">Basic example</h2>
<div class="codehilite"><pre><span></span><code><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
@ -366,6 +374,11 @@ See <code><a href="pyerrors/obs.html#Obs.export_jackknife">pyerrors.obs.Obs.expo
<span class="sd">- **non-linear fits with x- and y-errors** and exact linear error propagation based on automatic differentiation as introduced in [arXiv:1809.01289](https://arxiv.org/abs/1809.01289)</span>
<span class="sd">- **real and complex matrix operations** and their error propagation based on automatic differentiation (Cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...)</span>
<span class="sd">There exist similar publicly available implementations of gamma method error analysis suites in</span>
<span class="sd">- [Fortran](https://gitlab.ift.uam-csic.es/alberto/aderrors)</span>
<span class="sd">- [Julia](https://gitlab.ift.uam-csic.es/alberto/aderrors.jl)</span>
<span class="sd">- [Python](https://github.com/mbruno46/pyobs)</span>
<span class="sd">## Basic example</span>
<span class="sd">```python</span>

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