Extended univariate algorithms for n-dimensional global optimization


In recent papers of the author a general class of algorithms was proposed to solve the global optimization problem inn dimensions (n≥1). Here we show that certain types of univariate methods (n=1) can be generalized in a straightforward manner to obtain algorithms for the casen>1. Some numerical test tesults are also reported. In vorangehenden Arbeiten… (More)
DOI: 10.1007/BF02238195


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