The computation from geoscixyz

notebook for dc?

@sgkang, @micmitch is there a notebook for the DC story that could be added to the notebooks folder to complement the tutorial you have written?

if there are data files / model files etc that you would also like to link, we have set up a bucket on google app engine where they can be stored (right now, it requires manual upload, so if you slack me the files, I can get them up there!)

Notebook: Simulation of a 1D Magnetotelluric Problem

Nice work @sgkang, I like the overall layout!

General comments

after the Purpose section, I would consider adding a Resources that includes a link to the SimPEG Mesh documentation and the MT section on EM geosci (and any other resources you think are particularly relevant). Phil's tutorials might be a good place to go as well (https://github.com/jokulhaup/directed_studies)
in terms of print statements, I think using format is better practice, eg.

print("Smallest cell size = {min_cs}".format(min_cs = 500*np.sqrt(100/fmax) / 4. ))

Specific comments

Physics

within the "Physics" section, the statement of the FDEM and TDEM equations is different, could we make them consistent?

Discretization

In the Discretization section - we may want to provide a bit more detail in terms of showing the matrix structure of the discrete gradient (up to you on gauging the expected background of the audience).
- We are free to use content from https://github.com/jokulhaup/directed_studies/blob/master/Final%20Drafts/Module%201%2C%20%20Setting%20up%20the%20problem%2C%20April.ipynb, provided we acknowledge Phil (doesn't show grad, but does show averaging, so that might be enough of a linear algebra primer) . Or within the question section, including a pointer to this notebook could be sufficient for now.
In terms of the code, step 2 is very well commented, but step 1 would benefit from a few comments (eg. cs is cell size)
for step 2, there is a lot that happens in that cell. I have included a screen shot below where I would consider breaking up the pieces (and at each step outputting a plot or statement).
- for the physical properties, having a plot will be helpful for when you suggest going back and changing the conductivity structure
- when you create the differential operators, using an imshow plot to show the structure would be valuable

What to Solve

to simplify things a bit in the construction of the A matrix, instead of creating tempUp, tempDown,

I would do it in one go and use spacing / indentation to have it look like the math

A = sp.vstack([
    sp.hstack([Grad, 1j*omega*Mmu]),
    sp.hstack([Msighat, Div])
])

Explore

for the plotting, I would suggest using different axes (eg plt.subplots(1,2)) for the apparent resistivity and phase (and include y-axis labels :) )

PardisoSolver and pymatsolver

We should add a page on setting up Pardiso using pymatsolver and pyMKL

redirect SimPEG tutorials --> computation.geosci.xyz

remove the pointer to tutorials.simpeg.xyz on the simpegtutorials gae account
set up billing @rowanc1: let me know if you prefer I do this
point simpeg website navbar to computation instead of SimPEG tutorials

Questions we should be able to address

How should I design a mesh for a:
- Potential Fields simulation / inversion?
- DC
- EM ...
what do the regularization parameters do?
when is depth / sensitivity weighting appropriate?

deploy tutorials on google app engine

the tutorials are likely going to be large enough that we want them deploying from travis to google app engine instead of through read the docs

Stories --> Examples

I think that "stories" was originally chosen so that it would be distinct from the SimPEG Examples, which are demonstrations of how to use the code. Under the new umbrella of geosci, and being a resource for numerical geophysics, I think that the title "Examples" perhaps is more descriptive for simulations and / or inversions with explanations. Thoughts? cc @rowanc1, @sgkang

Getting started

adding a remote account to sourcetree (if new to github / setting up github account)
running setup.py for interpolation
advanced : installing pymatsolver and using mumps