Direct Search Methods on Parallel Machines

dc.contributor.authorDennis, J.E.en_US
dc.contributor.authorTorczon, Virginiaen_US
dc.date.accessioned2018-06-18T17:30:09Zen_US
dc.date.available2018-06-18T17:30:09Zen_US
dc.date.issued1990-09en_US
dc.date.noteSeptember 1990 (Revised March 1991)en_US
dc.description.abstractThis paper describes an approach to constructing derivative-free parallel algorithms for unconstrained optimization which are easy to implement on parallel machines. A special feature of this approach is the ease with which algorithms can be generated to take advantage of any number of processors and to adapt to any cost ratio of communication to function evaluation. The algorithms given here are supported by a strong convergence theorem, promising computational results, and an intuitively appealing interpretation as multi-directional line search methods.en_US
dc.format.extent29 ppen_US
dc.identifier.citationDennis, J.E. and Torczon, Virginia. "Direct Search Methods on Parallel Machines." (1990) <a href="https://hdl.handle.net/1911/101684">https://hdl.handle.net/1911/101684</a>.en_US
dc.identifier.digitalTR90-19en_US
dc.identifier.urihttps://hdl.handle.net/1911/101684en_US
dc.language.isoengen_US
dc.titleDirect Search Methods on Parallel Machinesen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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