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A comparison of methods for discrete L_1 curve-fitting

Descriptive

Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Genre (authority = RULIB-FS)
Other
Genre (authority = marcgt)
technical report
PhysicalDescription
InternetMediaType
application/pdf
Extent
1 online resource (35 pages) : illustrations
Note (type = special display note)
Technical report DCS-TR-96
Name (type = corporate); (authority = RutgersOrg-School)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Name (type = corporate); (authority = RutgersOrg-Department)
NamePart
Computer Science (New Brunswick)
TypeOfResource
Text
TitleInfo
Title
A comparison of methods for discrete L_1 curve-fitting
Subject (authority = local)
Topic
Least absolute deviation
Subject (authority = local)
Topic
Curve-fitting
Subject (authority = local)
Topic
Linear programming
Abstract (type = abstract)
We study discrete L_1, curve-fitting of n points in k dimensional space. Execution times for the algorithms of Barrodaie-Roberts (BR), Bartels-Conn-Sinclair (BCS), and Bloomfieid-Steiger (BS) - three of the best LAD curve-fitting procedures - are compared over a variety of deterministic and random curve-fitting problems. Analysis of the results allows us to make surprisingly precise statements about the computational complexity of these algorithms. In particular, BR is in a different complexity ciass than BCS and BS as the number of points,n, increases. All algorithms are linear in'the dimension, k, andBS is less complex than BCS.
Name (type = personal)
NamePart (type = family)
Anderson
NamePart (type = given)
D.
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Steiger
NamePart (type = given)
William L.
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (type = text); (authority = marcrt)
author
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact); (keyDate = yes)
1981-01
RelatedItem (type = host)
TitleInfo
Title
Computer Science (New Brunswick)
Identifier (type = local)
rucore21032500001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-2v26-9g79
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This Item is protected by copyright and/or related rights.You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use.For other uses you need to obtain permission from the rights-holder(s).
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Copyright protected
Availability
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Open
Reason
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Technical

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ContentModel
Document
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