Reliability and Applicability of Nonlinear Optimization Software
Application of optimization methods in a design of various equipment requires that the methods are reliable even when the mathematical model is highly nonlinear. Some basic tests exist which allow testing reliability of optimization methods. But the success of an optimization method depends also upon how a mathematical model of a problem is built. An example is given how this should be done.
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