research

Research with Dr. Hoover and Dr. Caudle at SDSMT by Timothy Ford.

Find me here: timothywford.com

research/

• README.md - this
• requirements.txt - pip venv requirements, needed to run jupyter notebooks (maybe help to come on site if I feel like it or someone wants it)
• abstract.odt - My abstract for the presentation

research/tensor functions (matlab)

Holds all the original Tensor Operations we were given from Matlab. Someone else's work, attribution to them is buried in those files at the header I believe.

• 22matrix.m - test 2x2 matrix in matlab
• /matlab - all of the matlab functions

research/networkGenerate

• epidemic models.pdf - paper given to go off of (someone elses' work)
• Social Network Generation.ipynb/pdf - my attempt at some network generation

research/mar

Work on the matrix version of an ARMA model.

• generateData.py - generate data for testing a MAR (don't remember if this was useful or not)
• model.py - a fairly built out object oriented MAR, but it's not complete and doesn't work

research/communitytSVD

• /coloringCommunities - an tsvd project where the two distinct communities were colored
• /firstRun - first attempt at doing a tsvd with two distinct communities
• /matlab - matlab files used for testing
• .ipynb files - Various iterations of getting results
• L_svd.py and L_trans.py - code stolen from Riley I believe (github: https://github.com/VintageDesign)
• tensorOps.py - the tensor operations converted from matlab to python (everything in here should work!)

research/armaModel

Initial exploration/learning in time forecasting using an ARMA model. Essentially building one from scratch, using maximum likelihood.