Resources

I produce writeups at several levels:

• Level 1: For interested, nonspecialist readers.
• Level 2: For people who’d like to dig deeper, but don’t want a lot of technical detail.
• Level 3: For practitioners (or grad students) of applied math or geospatial technologies, who want the gory details.

• Level 3: How I think about the neural net backpropagation algorithm. (January 2020)
• Level 3: A Mathematical Derivation of the Extended Kalman Filter, a second companion document to Probabilistic Robotics by Thrun, Burgard, and Fox. (December 2019)
• Level 3: Mathematical Derivation of the Bayes and Kalman Filters, a companion document to Probabilistic Robotics by Thrun, Burgard, and Fox. (December 2019)
• Level 1: Building GCP networks from space (February 2016)
  • Level 2-3: Conference paper: An Automated HPC Implementation of the Metric Information Network (MIN) (February 2016)
  • Level 2-3: Patent: Automated Metric Information Network (February 2016)