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Steven Diamond committed Jun 26, 2016
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Expand Up @@ -55,7 +55,7 @@ Advanced Applications
- `L1 trend filtering <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/l1_trend_filter.ipynb>`_
- `Nonnegative matrix factorization <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/nonneg_matrix_fact.ipynb>`_
- `Optimal parade route <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/parade_route.ipynb>`_
- `Optimal power and bandwidth allocation in a Gaussian broadcast channel <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/optimal_power_Gaussian_channel_BV4.62.ipynb>`_
- `Optimal power and bandwidth allocation in a Gaussian broadcast channel <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/optimal_power_gaussian_channel_BV4.62.ipynb>`_
- `Power assignment in a wireless communication system <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/maximise_minimum_SINR_BV4.20.ipynb>`_
- `Predicting NBA game wins <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/nba_ranking.ipynb>`_
- `Robust Kalman filtering for vehicle tracking <http://nbviewer.ipython.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/robust_kalman.ipynb>`_
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