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Refactor parameter links & optimization constraints #29

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Refactor parameter links & optimization constraints #29

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -51,7 +51,7 @@ To get a feeling for how to use Dmipy, we provide a few tutorial notebooks:
- [Simulating and fitting data using a simple Stick model](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_simulating_and_fitting_using_a_simple_model.ipynb)
- [Combining biophysical models into a Microstructure model](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_combining_biophysical_models_into_microstructure_model.ipynb)
- [Creating a dispersed and/or distributed axon bundle representation](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/tutorial_distributed_model_representations.ipynb)
- [Imposing parameter links and constraints](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_imposing_parameter_links.ipynb)
- [Adding parameter links and optimization constraints](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_imposing_parameter_links.ipynb)
- [Parameter Cascading: Using a simple model to initialize a complex one](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/tutorial_parameter_cascading_and_simulating_nd_datasets.ipynb)

## Explanations and Illustrations of Dmipy Contents
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