Find the minimum of a multi-variable function f(x) where x is a vector. Supports built-in test functions: rosenbrock (banana-shaped valley, tests optimization robustness), sphere (simple convex function), rastrigin (many local minima), quadratic (ellipsoidal contours). Methods: bfgs (Quasi-Newton method, uses gradient approximations, fast and reliable), nelder_mead (simplex method, derivative-free, robust for non-smooth functions). Essential for portfolio optimization, parameter calibration, maximum likelihood estimation, and model fitting.
API key for authentication. Get your key at https://finceptbackend.share.zrok.io/auth/register
Function to minimize
rosenbrock, sphere, rastrigin, quadratic "rosenbrock"
Initial guess for the minimum location
[-1, 2]Optimization method
bfgs, nelder_mead "bfgs"
Convergence tolerance
1e-8