TOMLAB /NLPQL integrates The MathWorks' MATLAB and the NLPQL solvers from Klaus Schittkowski.
Features and capabilities

The NLPQLP solver handles dense nonlinear programming problems.

The solver NLPJOB
enables interactive solution of multicriteria optimization problems.
The user can select from several different options.

The solver DFNLP
Solves constrained nonlinear least squares,
L1 and minmax problems, where the objective function is of the following form:
 sum of squares of function values
 sum of absolute function values
 maximum of absolute function values
 maximum of functions
In addition there may be any set of equality or inequality constraints. It is assumed that all individual problem functions are continuously differentiable.
Read more about
DFNLP
at

TOMLAB /NLPQL is integrated with the TOMLAB environment.

The TOMLAB /NLPQL
solvers may be used as subproblem solvers in the TOMLAB
environment.
Requirements