>>> info(optimize)
Optimization Tools
A collection of general-purpose optimization routines.
fmin -- Nelder-Mead Simplex algorithm
(uses only function calls)
fmin_powell -- Powell's (modified) level set method (uses only
function calls)
fmin_bfgs -- Quasi-Newton method (can use function and gradient)
fmin_ncg -- Line-search Newton Conjugate Gradient (can use
function, gradient and hessian).
leastsq -- Minimize the sum of squares of M equations in
N unknowns given a starting estimate.
Scalar function minimizers
fminbound -- Bounded minimization of a scalar function.
brent -- 1-D function minimization using Brent method.
golden -- 1-D function minimization using Golden Section method
bracket -- Bracket a minimum (given two starting points)
Also a collection of general_purpose root-finding routines.
fsolve -- Non-linear multi-variable equation solver.
Scalar function solvers
brentq -- quadratic interpolation Brent method
brenth -- Brent method (modified by Harris with
hyperbolic extrapolation)
ridder -- Ridder's method
bisect -- Bisection method
newton -- Secant method or Newton's method
fixed_point -- Single-variable fixed-point solver.
