Reference code snippets for matrix operations, calculus, and optimization algorithms
Project description
datamaths
A pip-installable package built from OMDS.py. Each function prints out a
ready-to-run code snippet (matrix operations, differentiation/integration,
Newton's method, Lagrange multipliers, KKT conditions, BFGS, PSO, Flower
Pollination Algorithm, etc.) by raising it as a RuntimeError, so you can
copy it straight from the traceback.
Install (from this folder)
pip install .
Or, for editable/development install:
pip install -e .
Usage
import datamaths
datamaths.commands() # list all available snippet functions
datamaths.p1Matrixopr() # raises RuntimeError containing the matrix-ops snippet
Available functions
p1Matrixopr()p2vectorInte()p3simplexDuality()p4newton()p5secant()p6langrange()p7kkt()p8bfgs()p9swarm()p10flower()alllib()– prints required third-party libraries and pip install commandscommands()– lists all function names
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