Linear operator: Difference between revisions

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#A mathematical [[operator]] that involves only a [[linear]] combination of terms or  differentials in the [[dependent variable]]; examples are the [[del operator]], the [[Laplacian operator]],  and the [[differential operator]], ''L'' where  <blockquote>[[File:ams2001glos-Le21.gif|link=|center|ams2001glos-Le21]]</blockquote> the coefficients ''a''<sub>1</sub>(''x'') &middot; &middot; &middot; ''a''<sub>''n''</sub>(''x'') may be functions of the [[independent variable]] ''x''.<br/>  
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#A [[weighting]] function that is applied to past values of a [[time series]] in order to obtain  estimates of future values, determined mathematically in such a way that the [[mean-square error]]  of [[prediction]] is minimized.<br/> This technique can be extended to more than one [[variable]], so that many time series may be  considered simultaneously.
== linear operator ==
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#<div class="definition"><div class="short_definition">A mathematical [[operator]] that involves only a [[linear]] combination of terms or  differentials in the [[dependent variable]]; examples are the [[del operator]], the [[Laplacian operator]],  and the [[differential operator]], ''L'' where  <div class="display-formula"><blockquote>[[File:ams2001glos-Le21.gif|link=|center|ams2001glos-Le21]]</blockquote></div> the coefficients ''a''<sub>1</sub>(''x'') &middot; &middot; &middot; ''a''<sub>''n''</sub>(''x'') may be functions of the [[independent variable]] ''x''.</div><br/> </div>
#<div class="definition"><div class="short_definition">A [[weighting]] function that is applied to past values of a [[time series]] in order to obtain  estimates of future values, determined mathematically in such a way that the [[mean-square error]]  of [[prediction]] is minimized.</div><br/> <div class="paragraph">This technique can be extended to more than one [[variable]], so that many time series may be  considered simultaneously.</div><br/> </div>
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Latest revision as of 05:49, 29 March 2024

  1. A mathematical operator that involves only a linear combination of terms or differentials in the dependent variable; examples are the del operator, the Laplacian operator, and the differential operator, L where
    ams2001glos-Le21
    the coefficients a1(x) · · · an(x) may be functions of the independent variable x.
  2. A weighting function that is applied to past values of a time series in order to obtain estimates of future values, determined mathematically in such a way that the mean-square error of prediction is minimized.
    This technique can be extended to more than one variable, so that many time series may be considered simultaneously.
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