Nonlinear Optimization Solver Purpose Provides capabilities for solving general nonlinear optimization problems including constrained and unconstrained formulations. Capabilities - Gradient-based methods (BFGS, L-BFGS, CG) - Newton and quasi-Newton methods - Interior point methods - Sequential quadratic programming (SQP) - Global optimization (basin-hopping, differential evolution) - Constraint handling Usage Guidelines 1. Starting Point : Provide good initial guesses 2. Gradient Information : Supply gradients when available 3. Global vs Local : Choose global methods for multimodal problems 4…