Pallaschke, D. & Recht, P. (1984). On the Steepest Descent Method for a Class of Quasi-Differentiable Optimization Problems. IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-84-057
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Abstract
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.
Item Type: | Monograph (IIASA Collaborative Paper) |
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Research Programs: | System and Decision Sciences - Core (SDS) |
Depositing User: | IIASA Import |
Date Deposited: | 15 Jan 2016 01:55 |
Last Modified: | 27 Aug 2021 17:12 |
URI: | https://pure.iiasa.ac.at/2520 |
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