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Specialised versus general-purpose algorithms for minimising functions that are sums of squared terms

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Abstract

A family of test-problems is described which is designed to investigate the relative efficiencies of general optimisation algorithms and specialised algorithms for the solution of nonlinear sums-of-squares problems. Five algorithms are tested on three members of the family, and it is shown that the best choice of algorithms is critically affected by the value of one parameter in the test functions.

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Authors and Affiliations

  1. The Hatfield Polytechnic, Hatfield, Herts., England

    J. J. McKeown

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  1. J. J. McKeown
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McKeown, J.J. Specialised versus general-purpose algorithms for minimising functions that are sums of squared terms. Mathematical Programming 9, 57–68 (1975). https://doi.org/10.1007/BF01681330

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  • DOI: https://doi.org/10.1007/BF01681330

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