Stochastic Quasigradient Methods and their Application in Systems Optimization

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1792 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1792 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1792 archive 351 disk0/00/00/17/59 2016-01-15 01:50:23 2021-08-27 17:10:31 2016-01-15 01:50:23 monograph show 2 Ermoliev Y.M. 1445 Stochastic Quasigradient Methods and their Application in Systems Optimization pub iis_met prog_sds This paper systematically surveys the basic direction of development of stochastic quasigradient methods which allow one to solve optimization problems without calculating the precise values of objective and constraints function (all the more of their derivatives). For deterministic nonlinear optimization problems these methods can be regarded as methods of random search. For the stochastic programming problems, SQG methods generalize the well-known stochastic approximation method for unconstrained optimization of the expectation of random functions to problems involving general constraints. 1981-01 published WP-81-002 WP-81-002 338 public working_paper IIASA, Laxenburg, Austria 51 FALSE info:eu-repo/semantics/book