11. Numerical Examples
=======================================

Chapter 5:

* `Linear programming <https://cvx-learning.readthedocs.io/en/latest/ADMM/ConstrainedConvex.html#test-lp>`_
* `Quadratic programming <https://cvx-learning.readthedocs.io/en/latest/ADMM/ConstrainedConvex.html#test-qp>`_
* `Polyhedra Intersection <https://cvx-learning.readthedocs.io/en/latest/ADMM/ConstrainedConvex.html#polyhedra-intersection>`_

Chapter 6:

* `Huber fitting <https://cvx-learning.readthedocs.io/en/latest/ADMM/L1Norm.html#huber-fitting>`_
* `Basis pursuit problem <https://cvx-learning.readthedocs.io/en/latest/ADMM/L1Norm.html#basis-pursuit-problem>`_
* `L1 regularized loss <https://cvx-learning.readthedocs.io/en/latest/ADMM/L1Norm.html#l1-regulaized-loss>`_
* `Lasso serial version <https://cvx-learning.readthedocs.io/en/latest/ADMM/L1Norm.html#lasso>`_
* `Sparse Inverse Covariance Selection <https://cvx-learning.readthedocs.io/en/latest/ADMM/L1Norm.html#sparse-inverse-covariance-selection>`_

Chapter 8:

* `Lasso split samples <https://cvx-learning.readthedocs.io/en/latest/ADMM/DistributedModelFitting.html#splitting-across-examples>`_
* `Support Vector Machine <https://cvx-learning.readthedocs.io/en/latest/ADMM/DistributedModelFitting.html#splitting-across-examples>`_
* `Lasso split features <https://cvx-learning.readthedocs.io/en/latest/ADMM/DistributedModelFitting.html#splitting-across-features>`_