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University of Bayreuth

Web site: http://www.klaus-schittkowski.de/
Company Information:
We develop scientific software for nonlinear optimization, i.e., minimization of a nonlinear function subject to nonlinear constraints. An implementation of a sequential quadratic programming (SQP) method is widely used in industry and academia (NLPQL). Special variants are least squares, data fitting, or nonlinear regression problems, respectively, for which highly efficient numerical algorithms have been implemented together with a convenient user interface with up to 1,300 test examples. The dynamical system might consist of ordinary or partial differential equations.
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