mathematicskit.optimization
===========================


.. include:: /_generated/nav/optimization.rst

Gradient descent and nonlinear conjugate gradient (hand-rolled, exposing
the per-iterate path); Newton's method and BFGS via
``scipy.optimize.minimize``; Lagrange multipliers and KKT-condition
verification; linear programming via ``scipy.optimize.linprog``; a
quadratic-penalty method for constrained problems; and convergence-rate
comparison utilities on shared test functions (Rosenbrock, a quadratic
bowl).

.. automodule:: mathematicskit.optimization
   :members:
   :undoc-members: