levenberg_marquardt(chi2_func=None,
dchi2_func=None,
dfunc=None,
errors=None,
args=(),
x0=None,
func_tol=1e-25,
grad_tol=None,
maxiter=1000000.0,
print_flag=0,
print_prefix='',
full_output=False)
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Levenberg-Marquardt minimisation.
- Parameters:
chi2_func - User supplied chi-squared function which is run with the function
parameters and args as options.chi2_func - funcdchi2_func - User supplied chi-squared gradient function which is run with the
function parameters and args as options.dchi2_func - funcdfunc - User supplied function which should return a vector of partial
derivatives of the function which back calculates values for the
chi-squared function.dfunc - funcerrors - The experimental errors.errors - numpy rank-1 arrayargs - A tuple containing the arguments to send to chi2_func and
dchi2_func.args - tuplex0 - The initial function parameter values.x0 - numpy rank-1 arrayfunc_tol (float) - The function tolerance value. Once the function value between
iterations decreases below this value, minimisation is
terminated.grad_tol (float) - The gradient tolerance value.maxiter - The maximum number of iterations.maxiter - intprint_flag (int) - A flag specifying how much information should be printed to
standard output during minimisation. 0 means no output, 1 means
minimal output, and values above 1 increase the amount of output
printed.print_prefix (str) - The text to add out to the front of all printouts.full_output - A flag specifying what should be returned. If full_output is
False, the parameter values and chi-squared value are returned as
a tuple. If full_output is True, the parameter values,
chi-squared value, number of iterations, and the warning flag are
returned as a tuple.full_output - bool
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