Title	Model Reduction for Elasticity-Based Shape Processing
Creator	Hildebrandt, Klaus
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-09-25T11:14
Description	In this talk, we will discuss model reduction techniques that can be used to construct fast approximation algorithms for shape optimization problems. The goal is to obtain approximate solutions at run times that are independent of the resolution of the discrete shapes to be optimized. As applications we will discuss methods for real-time elasticity-based shape interpolation and the processing of curves in shape spaces in which a shape is a single point. Finally, I will outline the concept of compressed vibration modes of elastic bodies, which in contrast to the natural vibration modes, are localized ("sparse") deformations.
Extent	52.0
Subject	Mathematics; Numerical analysis; Mechanics of deformable solids; Applied computer science
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Delft University of Technology
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-03-06
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0376638
URI	http://hdl.handle.net/2429/68491
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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