The rate of convergence of a multidimensional random search is found to improve when the search region is restricted to a directed adaptive hypercone. The convergence properties of the hyperconical search algorithm are investigated and the scheme is applied to the problem of identifying twenty-two constants of a given chemical reaction from measured data.

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