A comparative study of smoothing approximations

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Abstract

It is known that many optimization problems can be reformulated as composite optimization problems. In this paper error analyses are provided for two kinds of smoothing approximation methods of a unconstrained composite nondifferentiable optimization problem. Computational results are presented for nondifferentiable optimization problems by using these smoothing approximation methods. Comparisons are made among these methods.
Original languageEnglish
Pages (from-to)194-200
Number of pages7
JournalJournal of the Australian Mathematical Society Series B-Applied Mathematics
Volume38
Issue number2
Publication statusPublished - 1 Oct 1996
Externally publishedYes

ASJC Scopus subject areas

  • Applied Mathematics

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