nls_optimize: Optimizer for non-linear least square problems

In Aleks1123/PCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

Optimizer for non-linear least square problems

Description

Obtain the solution to minimize the sum of squared errors of the defined function fun by levenberg-marquardt method. Adapted from PRACMA package.

Usage

nls_optimize(fun, x0, ..., options,verbal)

Arguments

fun	The function returns the vector of weighted residuals.
x0	The initial value for optimization.
...	Parameters to be passed for fun
options	Additional optimization controls.
verbal	Default = 1 for printing iteration and other for suppressing

Value

par	The solution to the non-linear least square problem, the same size as x0

Aleks1123/PCODE documentation built on Sept. 11, 2022, 1:08 p.m.