Title	Computing Sensitivities or Solving Parameter Estimation Problems in ODEs and DDEs
Creator	Enright, Wayne
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-11-29T13:04
Description	In recent years we have developed reliable order $p$ methods for the approximate solution of general systems of IVPs and DDEs. We have used these methods to implement effective techniques for parameter estimation and sensitivity analysis for IVPs and DDEs. The two techniques we have investigated are the "variational approach" and the "adjoint approach". We will discuss the cost and reliability of each approach and identify several factors that contribute to the performance of each. In particular we will discuss why, for each technique, the underlying numerical IVP or DDE solver must exploit inherent parallelism if the number of state variables, the number of parameters, or the number of data points is large.
Extent	32 minutes
Subject	Mathematics; Numerical analysis; Partial differential equations
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of Toronto
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2017-05-15
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0347483
URI	http://hdl.handle.net/2429/61652
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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Computing Sensitivities or Solving Parameter Estimation Problems in ODEs and DDEs Enright, Wayne

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