A comparative study of smoothing approximations

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1 Citation (Scopus)


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
Issue number2
Publication statusPublished - 1 Oct 1996
Externally publishedYes

ASJC Scopus subject areas

  • Applied Mathematics


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