On the Steepest Descent Method for a Class of Quasi-Differentiable Optimization Problems

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2565 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2565 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2565 archive 351 disk0/00/00/25/20 2016-01-15 01:55:05 2021-08-27 17:12:06 2016-01-15 01:55:05 monograph show 2 Pallaschke D. Recht P. On the Steepest Descent Method for a Class of Quasi-Differentiable Optimization Problems pub iis_met prog_sds In a recent paper, V.F. Demyanov, S. Gamidov and I. Sivelina developed an algorithm for solving optimization problems, given by smooth compositions of max-type functions. In this paper the authors apply this algorithm to a larger class of quasidifferentiable functions. This paper is a contribution to research on nondifferentiable optimization currently underway with the System and Decision Sciences Program. 1984-12 published CP-84-057 CP-84-057 public collaborative_paper IIASA, Laxenburg, Austria 15 FALSE info:eu-repo/semantics/book