LmModelError

Full name Microsoft.VisualBasic.Data.Bootstrapping.LevenbergMarquardt.LmModelError Assembly Microsoft.VisualBasic.Data.Bootstrapping.Fittings Members 4

Created by duy on 20/1/15.

01 Syntax

Microsoft.VisualBasic.Data.Bootstrapping.LevenbergMarquardt.LmModelError

02 Methods

Name	Overloads	Summary
eval	1	Evaluates the error function with input optimization parameter values
jacobian	1	Computes the Jacobian vector of the error function with input optimization parameter values
hessian	2	Computes the Hessian matrix of the error function with input optimization parameter values

03 Members

method eval #

eval(Double())

Evaluates the error function with input optimization parameter values

Parameters

Name	Type	Description
`optParams`	`Double()`	A vector of real values of parameters used in optimizing the error function

Returns

Double value of the error function

method jacobian #

jacobian(Double())

Computes the Jacobian vector of the error function with input optimization parameter values

Parameters

Name	Type	Description
`optParams`	`Double()`	A vector of real values of parameters used in optimizing the error function

Returns

Jacobian vector of the error function

method hessian #

hessian(Double(), Boolean)

Computes the Hessian matrix of the error function with input optimization parameter values

Parameters

Name	Type	Description
`optParams`	`Double()`	A vector of real values of parameters used in optimizing the error function
`approxHessianFlg`	`Boolean`	A boolean flag to indicate whether the Hessian matrix can be approximated instead of having to be computed exactly

Returns

Hessian matrix of the error function

method hessian overload 2 #

hessian(Double())

Computes the Hessian matrix of the error function with input optimization parameter values

Parameters

Name	Type	Description
`optParams`	`Double()`	A vector of real values of parameters used in optimizing the error function

Returns

The exact Hessian matrix of the error function