Package cern.colt.matrix.linalg
Class EigenvalueDecomposition
java.lang.Object
cern.colt.matrix.linalg.EigenvalueDecomposition
- All Implemented Interfaces:
Serializable
Eigenvalues and eigenvectors of a real matrix A.
If A is symmetric, then A = V*D*V' where the eigenvalue matrix D is diagonal and the eigenvector matrix V is orthogonal. I.e. A = V.mult(D.mult(transpose(V))) and V.mult(transpose(V)) equals the identity matrix.
If A is not symmetric, then the eigenvalue matrix D is block diagonal with the real eigenvalues in 1-by-1 blocks and any complex eigenvalues, lambda + i*mu, in 2-by-2 blocks, [lambda, mu; -mu, lambda]. The columns of V represent the eigenvectors in the sense that A*V = V*D, i.e. A.mult(V) equals V.mult(D). The matrix V may be badly conditioned, or even singular, so the validity of the equation A = V*D*inverse(V) depends upon Algebra.cond(V).
- See Also:
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Constructor Summary
ConstructorsConstructorDescriptionConstructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object. -
Method Summary
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Constructor Details
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EigenvalueDecomposition
Constructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object. Checks for symmetry, then constructs the eigenvalue decomposition.- Parameters:
A- A square matrix.- Throws:
IllegalArgumentException- if A is not square.
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Method Details
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getD
Returns the block diagonal eigenvalue matrix, D.- Returns:
- D
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getImagEigenvalues
Returns the imaginary parts of the eigenvalues.- Returns:
- imag(diag(D))
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getRealEigenvalues
Returns the real parts of the eigenvalues.- Returns:
- real(diag(D))
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getV
Returns the eigenvector matrix, V- Returns:
- V
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toString
Returns a String with (propertyName, propertyValue) pairs. Useful for debugging or to quickly get the rough picture. For example,rank : 3 trace : 0
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