Merge branch 'feat/sparse-regularization' into patch/sparse-dcip

# Conflicts:
#	SimPEG/Examples/__init__.py
#	SimPEG/Optimization.py

docs/examples/DC_PseudoSection_Simulation.rst

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+.. _examples_DC_PseudoSection_Simulation:
+
+.. --------------------------------- ..
+..                                   ..
+..    THIS FILE IS AUTO GENEREATED   ..
+..                                   ..
+..    SimPEG/Examples/__init__.py    ..
+..                                   ..
+.. --------------------------------- ..
+
+
+
+DC Forward Simulation
+=====================
+
+Forward model conductive spheres in a half-space and plot a pseudo-section
+
+Created on Mon Feb 01 19:28:06 2016
+
+@fourndo
+
+
+
+.. plot::
+
+    from SimPEG import Examples
+    Examples.DC_PseudoSection_Simulation.run()
+
+.. literalinclude:: ../../SimPEG/Examples/DC_PseudoSection_Simulation.py
+    :language: python
+    :linenos:

docs/examples/EM_FDEM_SusEffects.rst

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+.. _examples_EM_FDEM_SusEffects:
+
+.. --------------------------------- ..
+..                                   ..
+..    THIS FILE IS AUTO GENEREATED   ..
+..                                   ..
+..    SimPEG/Examples/__init__.py    ..
+..                                   ..
+.. --------------------------------- ..
+
+
+EM: FDEM: Effects of susceptibility
+===================================
+
+When airborne freqeuncy domain EM (AFEM) survey is flown over
+the earth including significantly susceptible bodies (magnetite-rich rocks),
+negative data is often observed in the real part of the lowest frequency
+(e.g. Dighem system 900 Hz). This phenomenon mostly based upon magnetization
+occurs due to a susceptible body when the magnetic field is applied.
+
+To clarify what is happening in the earth when we are exciting the earth with
+a loop source in the frequency domain we run three forward modelling:
+
+    - F[:math:`\sigma`, :math:`\mu`]: Anomalous conductivity and susceptibility
+    - F[:math:`\sigma`, :math:`\mu_0`]: Anomalous conductivity
+    - F[:math:`\sigma_{air}`, :math:`\mu_0`]: primary field
+
+We plot vector magnetic fields in the earth. For secondary fields we provide
+F[:math:`\sigma`, :math:`\mu`]-F[:math:`\sigma`, :math:`\mu_0`]. Following
+figure show both real and parts.
+
+
+
+.. plot::
+
+    from SimPEG import Examples
+    Examples.EM_FDEM_SusEffects.run()
+
+.. literalinclude:: ../../SimPEG/Examples/EM_FDEM_SusEffects.py
+    :language: python
+    :linenos:

docs/examples/Inversion_IRLS.rst

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+.. _examples_Inversion_IRLS:
+
+.. --------------------------------- ..
+..                                   ..
+..    THIS FILE IS AUTO GENEREATED   ..
+..                                   ..
+..    SimPEG/Examples/__init__.py    ..
+..                                   ..
+.. --------------------------------- ..
+
+
+Inversion: Linear Problem
+=========================
+
+Here we go over the basics of creating a linear problem and inversion.
+
+
+
+.. plot::
+
+    from SimPEG import Examples
+    Examples.Inversion_IRLS.run()
+
+.. literalinclude:: ../../SimPEG/Examples/Inversion_IRLS.py
+    :language: python
+    :linenos:

docs/examples/MT_1D_analytic_nlayer_Earth.rst

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+.. _examples_MT_1D_analytic_nlayer_Earth:
+
+.. --------------------------------- ..
+..                                   ..
+..    THIS FILE IS AUTO GENEREATED   ..
+..                                   ..
+..    SimPEG/Examples/__init__.py    ..
+..                                   ..
+.. --------------------------------- ..
+
+MT 1D analytic nlayer Earth
+===========================
+
+.. plot::
+
+    from SimPEG import Examples
+    Examples.MT_1D_analytic_nlayer_Earth.run()
+
+.. literalinclude:: ../../SimPEG/Examples/MT_1D_analytic_nlayer_Earth.py
+    :language: python
+    :linenos: