mathematicalmichael / mud-examples

Creation of figures for papers pertaining to the MUD (Maximal Updated Density) method for Parameter Estimation.

MUD-Examples

Examples for Existence, Uniqueness, and Convergence of Parameter Estimates with Maximal Updated Densities

Authors: Troy Butler & Michael Pilosov

Installation

pip install mud-examples

Quickstart

Generate all of the figures the way they are referenced in the paper:

mud_run_all

The above is equivalent to running all of the examples sequentially:

mud_run_inv
mud_run_lin
mud_run_ode
mud_run_pde

Usage

The mud_run_X scripts all call the same primary entrypoint, which you can call with the console script mud_examples.

Here are two examples:

mud_examples --example ode

mud_examples --example lin

and so on. (More on this later, once argparsing is better handled, they might just be entrypoints to the modules themselves rather than a central runner.py, which really only exists to compare several experiments, so perhaps it warrants renaming to reflect that).