.. _optim_numpy_index:

NumPy Optimizers
================
A collection of advanced optimization algorithms implemented for the NumPy backend, designed for quantum-inspired and hypercausal learning workflows.

.. toctree::
   :maxdepth: 1
   :titlesonly:

   Adaptive Adam Optimizer (Adam) <adam>
   Dual Ascent Controller (DA) <dual_ascent>
   Finite Difference Evaluator (FD) <finite_diff>
   K-FAC Natural Curvature Optimizer (K-FAC) <kfac>
   Model Predictive Controller (MPC) <mpc>
   Natural Gradient Descent (NGD) <natural_grad>
   SPSA Stochastic Optimizer (SPSA) <spsa>
   Trust-Region Stability Optimizer (TR) <trust_region>
   Core Utility Functions (Utils) <utils>