bundles / scipy latest / scipy / optimize / _optimize / fminbound
function
scipy.optimize._optimize:fminbound
source: build-install/usr/lib/python3.14/site-packages/scipy/optimize/_optimize.py:2197
Signature
def fminbound(func, x1, x2, args = (), xtol = 1e-05, maxfun = 500, full_output = 0, disp = 1)Summary
Bounded minimization for scalar functions.
Parameters
func: callable f(x,*args)Objective function to be minimized (must accept and return scalars).
x1, x2: float or array scalarFinite optimization bounds.
args: tuple, optionalExtra arguments passed to function.
xtol: float, optionalThe convergence tolerance.
maxfun: int, optionalMaximum number of function evaluations allowed.
full_output: bool, optionalIf True, return optional outputs.
disp: int, optionalIf non-zero, print messages.
0no message printing.1non-convergence notification messages only.2print a message on convergence too.3print iteration results.
Returns
xopt: ndarrayParameters (over given interval) which minimize the objective function.
fval: number(Optional output) The function value evaluated at the minimizer.
ierr: int(Optional output) An error flag (0 if converged, 1 if maximum number of function calls reached).
numfunc: int(Optional output) The number of function calls made.
Notes
Finds a local minimizer of the scalar function func in the interval x1 < xopt < x2 using Brent's method. (See brent for auto-bracketing.)
Examples
`fminbound` finds the minimizer of the function in the given range. The following examples illustrate this.from scipy import optimize def f(x): return (x-1)**2 minimizer = optimize.fminbound(f, -4, 4)✓
minimizer
✗np.float64(1.0)
minimum = f(minimizer)
✓minimum
✗np.float64(0.0)
res = optimize.fminbound(f, 3, 4, full_output=True) minimizer, fval, ierr, numfunc = res✓
minimizer
✗np.float64(3.000005960860986)
minimum = f(minimizer)
✓minimum, fval
✗(np.float64(4.000023843479476), np.float64(4.000023843479476))
See also
- minimize_scalar
Interface to minimization algorithms for scalar univariate functions. See the 'Bounded'
methodin particular.
Aliases
scipy.optimize.fminbound