Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/123609
Parallel global optimization in multidimensional scaling
Publication Type (CRIS)
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Publication Type (eLABa)
Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)
Author(s)
| Author | Affiliation | |
|---|---|---|
Matematikos ir informatikos institutas |
Title [en]
Parallel global optimization in multidimensional scaling
Julius Žilinskas
Is part of
Parallel scientific computing and optimization: advances and application. Workshop of British and Lithuanian Scientists on High Performance Scientific Computing Druskininkai, LITHUANIA, FEB 05-08, 2008
Published In
| Year | Start Page | End Page |
|---|---|---|
2009 | 69 | 82 |
Publisher
New York : Springer, 2009
Publisher (trusted)
Referenced in Database(s)(DBs)
Extent
p. 69-82
Science / Art Area
Gamtos mokslai / Natural Sciences (N)
Field of Science / Art
Matematika / Mathematics (N001)
Informatikos inžinerija / Informatics engineering (T007)
Abstract (en)
Multidimensional scaling is a technique for exploatory analysis of multidimensional data, whose essential part is optimization of a function possessing many adverse properties including multidimensionality, multimodality, and nondifferentiability. In this chapter, global optimization algorithms for multidimensional scaling are reviewed with particular emphasis on parallel computing.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Jungtinės Amerikos Valstijos / United States of America (US)
Description
IDS Number: BJC48.
Owning collection
ISBN (of the container)
9780387097060
WOS
000264747200006
eLABa ID
3869534