optimOptions

Specify optimization options that are to be passed to the 
numerical estimation routines

Provides functions for constructing mathematical models of dynamical systems from measured input-output data.

Suraj Yerramilli

sysid

System Identification in R

Arun Tangirala

optimOptions function

<dl><dt>tol</dt>
<dd>Minimum 2-norm of the gradient (Default: <code>1e-2</code>)</dd>
<dt>maxIter</dt>
<dd>Maximum number of iterations to be performed</dd>
<dt>LMinit</dt>
<dd>Starting value of search-direction length 
in the Levenberg-Marquardt method (Default: <code>0.01</code>)</dd>
<dt>LMstep</dt>
<dd>Size of the Levenberg-Marquardt step (Default: <code>2</code>)</dd>
<dt>display</dt>
<dd>Argument whether to display iteration details or not
(Default: <code>"off"</code>)</dd></dl>

Arguments

Create optimization options — optimOptions

<dl>

<dt>tol</dt>
<dd>Minimum 2-norm of the gradient (Default: <code>1e-2</code>)</dd>


<dt>maxIter</dt>
<dd>Maximum number of iterations to be performed</dd>


<dt>LMinit</dt>
<dd>Starting value of search-direction length 
in the Levenberg-Marquardt method (Default: <code>0.01</code>)</dd>


<dt>LMstep</dt>
<dd>Size of the Levenberg-Marquardt step (Default: <code>2</code>)</dd>


<dt>display</dt>
<dd>Argument whether to display iteration details or not
(Default: <code>"off"</code>)</dd>

</dl>

optimOptions: Create optimization options

Description

Usage

Arguments