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Merge pull request #187 from darioizzo/volkoff
Notebook on the use of variational equations for the TOV equations
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doc/conf.py

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# NOTE: the sgp4 notebook runs
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# some benchmarks.
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"sgp4_propagator*",
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# NOTE: high order variational equations
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# take too long in debug mode.
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"oppenheimer_volkoff*",
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]
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# Force printing traceback to stderr on execution error.

doc/examples_var_ode_sys.rst

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notebooks/tmap_pendulum
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notebooks/learning_mascons
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notebooks/map_inversion
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notebooks/oppenheimer_volkoff.ipynb

doc/notebooks/map_inversion.ipynb

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"\\end{array}\n",
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"\\right.\n",
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"$$\n",
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"\n",
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"with the added initial condition $e(t=0) = e(x_0, y_0, v_{x_0}, v_{y_0})$. We integrate this system up to $t=1$, as we now consider the actual integration time as an ODE parameter. Note that we also added one equation which will track the event value along the dynamics.\n",
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"\n",
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"Using this augmented system of equations we build a variational integrator so that all high orders variations, including the ones w.r.t. $T$ will be computed:\n"

doc/notebooks/oppenheimer_volkoff.ipynb

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