NumPy Optimizers

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

• Adaptive Adam Optimizer (Adam)
• Dual Ascent Controller (DA)
• Finite Difference Evaluator (FD)
• K-FAC Natural Curvature Optimizer (K-FAC)
• Model Predictive Controller (MPC)
• Natural Gradient Descent (NGD)
• SPSA Stochastic Optimizer (SPSA)
• Trust-Region Stability Optimizer (TR)
• Core Utility Functions (Utils)