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    On the Uniqueness of the Singular Value Decomposition in Meteorological Applications

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 007::page 1762
    Author:
    Hu, Qi
    DOI: 10.1175/1520-0442(1997)010<1762:OTUOTS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The author revisits the singular value decomposition (SVD) method and shows that the nonuniqueness of the left and right singular vectors related to SVD posts limitations on applications of the method. Caution should be observed when the heterogeneous and homogeneous correlation maps are applied to interpret the relationship between two meteorological data series.
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      On the Uniqueness of the Singular Value Decomposition in Meteorological Applications

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4187478
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    contributor authorHu, Qi
    date accessioned2017-06-09T15:35:53Z
    date available2017-06-09T15:35:53Z
    date copyright1997/07/01
    date issued1997
    identifier issn0894-8755
    identifier otherams-4817.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4187478
    description abstractThe author revisits the singular value decomposition (SVD) method and shows that the nonuniqueness of the left and right singular vectors related to SVD posts limitations on applications of the method. Caution should be observed when the heterogeneous and homogeneous correlation maps are applied to interpret the relationship between two meteorological data series.
    publisherAmerican Meteorological Society
    titleOn the Uniqueness of the Singular Value Decomposition in Meteorological Applications
    typeJournal Paper
    journal volume10
    journal issue7
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1997)010<1762:OTUOTS>2.0.CO;2
    journal fristpage1762
    journal lastpage1766
    treeJournal of Climate:;1997:;volume( 010 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian