TOMLAB /NLPQL

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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. 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

• MATLAB 6.5 or later