**Syntax**

` >>> LEVENBERG: lambda`

**Parent Command**

` >> CONVERGE
`

**Subcommand**

` -
`

**Description**

This command sets the initial value of the Levenberg parameter *lambda* (default: 0.001). During the optimization process (see command `>>> LEVENBERG-MARQUARDT>`) the Levenberg parameter is divided by the Marquardt parameter nue (see command `>>> MARQUARDT`) after each successful iteration, and is multiplied by nue if the new parameter set leads to an increased value of the objective function, i.e., if an unsuccessful step was proposed. A big value for *lambda* means that a small step along the steepest descent direction is performed. A *lambda*-value of zero is equivalent to a Gauss-Newton step. The former is robust but inefficient, the latter has a quadratic convergence rate but may lead to unsuccessful steps.

**Example**

` > COMPUTATION
>> CONVERGE
>>> maximum number of ITERATIONS: 10
>>> set initial LEVENBERG parameter to: 0.1 to make a safe first step
<<<
<<`

**See Also**

` >>> MARQUARDT
`