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 min-max 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.
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TOMLAB /NLPQL is integrated with the TOMLAB environment.
The TOMLAB /NLPQL
solvers may be used as subproblem solvers in the TOMLAB