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.. _curvefit-example:
****************
Simple functions
****************
.. contents:: :local:
Bumps allows fits with varying levels of complexity. Simple fits accept
a function $f(x;p)$ and data $x,y,\sigma_y$, where vector $y$ is the value
measured in conditions $x$, and $\sigma_y$ is the $1-\sigma$ uncertainty in
the measurement. Bumps also provides a simple wrapper for poisson data
taken from counting statistics, with function $f(x;p)$ and data $x,y$.
sim.py is a simulation of data from a poisson process, showing maximum
likelihood, expected value and variance.
The ode2 example shows how to fit a system of coupled differential equations
where multiple values are tracked at each time step.
.. toctree::
curve.rst
poisson.rst
sim.rst
ode.rst
ode2.rst
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