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dc.contributor.authorLewis, Andrew
dc.contributor.authorAbramson, David
dc.contributor.authorSimpson, Rod
dc.date.accessioned2006-06-13
dc.date.accessioned2013-03-19T22:33:30Z
dc.date.accessioned2017-03-01T22:24:09Z
dc.date.available2017-03-01T22:24:09Z
dc.date.issued1997
dc.date.modified2013-03-19T22:33:30Z
dc.identifier.isbn0-89791-985-8
dc.identifier.doi10.1109/SC.1997.10003
dc.identifier.urihttp://hdl.handle.net/10072/49558
dc.description.abstractWe address the optimization component of a decision support system for air quality management, and describes some benchmark studies assessing its effectiveness. Because of the computationally demanding nature of the objective function we are interested in parallelizing the quasi-Newton BFGS algorithm selected for initial study. This is achieved by concurrent evaluation of functions in finite difference approximations to the derivative and a method of interval subdivision in simple bound constrained line searching. In a realistic case study, use of the parallel optimization algorithm is shown to have significant performance gains over other methods of solution.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent158399 bytes
dc.format.mimetypeapplication/pdf
dc.publisherACM Press
dc.publisher.placeNew York, NY, USA
dc.relation.ispartofbookorjournalProceedings of the 1997 ACM/IEEE conference on Supercomputing
dc.relation.ispartofconferencename1997 ACM/IEEE conference on Supercomputing
dc.relation.ispartofdatefrom1997-11-15
dc.relation.ispartofdateto1997-11-21
dc.relation.ispartoflocationSan Jose, CA, USA
dc.subject.fieldofresearchPRE2009-Optimisation
dc.subject.fieldofresearchcode230118
dc.titleParallel Non-Linear Optimization: Towards the Design of a Decision Support System for Air Quality Management
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codee1x
gro.facultyFaculty of Engineering and Information Technology
gro.rights.copyright© 1997 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.date.issued1997
gro.hasfulltextFull Text
gro.griffith.authorLewis, Andrew J.


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    Contains papers delivered by Griffith authors at national and international conferences.

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