Authors: John Mark Vincent
A new method for multi-dimensional global optimization is presented. The fundamental idea is to obtain the Chebyshev norm from a set of L_p=norms; an original extrapolation procedure is used to converge to the optimum value, which is identical to the Chebyshev norm. This allows the optima to be efficiently pin-pointed by repeatedly bisecting the domain. Estimates of computational cost indicate that the method is fast.
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[v1] 2019-07-12 10:03:19
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