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cv.SVD

Singular Value Decomposition

Class for computing Singular Value Decomposition of a floating-point matrix. The Singular Value Decomposition is used to solve least-square problems, under-determined linear systems, invert matrices, compute condition numbers, and so on.

If you want to compute a condition number of a matrix or an absolute value of its determinant, you do not need u and vt. You can pass 'NoUV' flag. Another flag 'FullUV' indicates that full-size u and vt must be computed, which is not necessary most of the time.

See also
Class Details
Superclasses handle
Sealed false
Construct on load false
Constructor Summary
SVD Default constructor 
Property Summary
id Object ID 
u left singular vectors 
vt transposed matrix of right singular vectors 
w singular values 
Method Summary
Static   BackSubst Performs back substitution 
Static   Compute Performs SVD of a matrix 
Static   SolveZ Solves an under-determined singular linear system 
  addlistener Add listener for event. 
  backSubst Performs a singular value back substitution 
  compute The operator that performs SVD 
  delete Destructor 
  eq == (EQ) Test handle equality. 
  findobj Find objects matching specified conditions. 
  findprop Find property of MATLAB handle object. 
  ge >= (GE) Greater than or equal relation for handles. 
  gt > (GT) Greater than relation for handles. 
Sealed   isvalid Test handle validity. 
  le <= (LE) Less than or equal relation for handles. 
  listener Add listener for event without binding the listener to the source object. 
  lt < (LT) Less than relation for handles. 
  ne ~= (NE) Not equal relation for handles. 
  notify Notify listeners of event. 
Event Summary
ObjectBeingDestroyed Notifies listeners that a particular object has been destroyed.