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File:Gunnar Ax%C3%A9n 2010.jpg In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any

m × n

{\displaystyle m\times n} matrix via an extension of the polar decomposition. from Wikipedia

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Twt: gunnaraxen

VHID:60480895126

Swedish politician

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{{DISPLAYTITLE:Gunnar Axén}}[[File:Gunnar Ax%C3%A9n 2010.jpg|frameless|right]]
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any 
  
    
      
        m
        ×
        n
      
    
    {\displaystyle m\times n}
   matrix via an extension of the polar decomposition.<small> from [https://en.wikipedia.org/wiki/Gunnar_Ax%C3%A9n Wikipedia]</small>
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[[VHID]]:[https://verifiedhandles.com/vhid/60480895126 60480895126]
{{#subtitle: <big>Swedish politician</big>}}