Title	A mathematical programming look at optimal experimental design problems
Creator	Ahipasaoglu, Selin Damla
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-08-10T16:20
Description	Skype presentation: Using a mathematical programming lens, we will look at a parametric family of optimal design problems in depth. Two popular problems, the approximate D- and A- optimal design problems, will be highlighted as two special members and some of the results will be customised for them. First, we will present mathematical formulations, derive their duals and obtain optimality conditions. Second, we will survey different types of algorithms that are in use and discuss their convergence properties. Third, we will provide a branch and bound framework together with techniques to generate lower and upper bounds to obtain exact designs. Along the way, we will be identifying immediate research questions, as well as theoretical and computational challenges awaiting to be tackled.
Extent	48 minutes
Subject	Mathematics; Statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Singapore University of Technology and Design
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2018-02-06
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0363439
URI	http://hdl.handle.net/2429/64577
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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A mathematical programming look at optimal experimental design problems Ahipasaoglu, Selin Damla

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