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The software system allows to solve constrained nonlinear programming problems by an efficient sequential quadratic programming (SQP) method. A nonlinear objective function is to be minimized subject to nonlinear equality or inequality constraints. Final reports and optimziation history plots are available. A large number of test examples is included.
The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of significant parameters, and optimum experimental designs.
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