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RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation

Author:
Rosen, David M.
,
Kaess, Michael
,
Leonard, John J.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TRO.2014.2321852
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1137621
Keyword(s): convergence of numerical methods,least squares approximations,minimisation,Dog-Leg numerical optimization method,RISE,bounded sublevel sets,global convergence,incremental trust-region method,inference problems,inferential cost functions,input datum,many point estimation problems,numerical ill-conditioning,online inference,online sequential sparse least-squares minimization,robust incremental least-squares estimation,robust online sparse least-squares estimation,sparse nonlinear
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    RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation

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contributor authorRosen, David M.
contributor authorKaess, Michael
contributor authorLeonard, John J.
date accessioned2020-03-13T00:11:25Z
date available2020-03-13T00:11:25Z
date issued2014
identifier issn1552-3098
identifier other6845338.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1137621?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleRISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation
typeJournal Paper
contenttypeMetadata Only
identifier padid8319554
subject keywordsconvergence of numerical methods
subject keywordsleast squares approximations
subject keywordsminimisation
subject keywordsDog-Leg numerical optimization method
subject keywordsRISE
subject keywordsbounded sublevel sets
subject keywordsglobal convergence
subject keywordsincremental trust-region method
subject keywordsinference problems
subject keywordsinferential cost functions
subject keywordsinput datum
subject keywordsmany point estimation problems
subject keywordsnumerical ill-conditioning
subject keywordsonline inference
subject keywordsonline sequential sparse least-squares minimization
subject keywordsrobust incremental least-squares estimation
subject keywordsrobust online sparse least-squares estimation
subject keywordssparse nonlinear
identifier doi10.1109/TRO.2014.2321852
journal titleRobotics, IEEE Transactions on
journal volume30
journal issue5
filesize1193987
citations0
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