Package org.biojava.nbio.structure.jama
Class EigenvalueDecomposition
- java.lang.Object
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- org.biojava.nbio.structure.jama.EigenvalueDecomposition
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- All Implemented Interfaces:
Serializable
public class EigenvalueDecomposition extends Object implements Serializable
Eigenvalues and eigenvectors of a real matrix.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.times(D.times(V.transpose())) and V.times(V.transpose()) 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.times(V) equals V.times(D). The matrix V may be badly conditioned, or even singular, so the validity of the equation A = V*D*inverse(V) depends upon V.cond().
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description EigenvalueDecomposition(Matrix Arg)
Check for symmetry, then construct the eigenvalue decomposition Structure to access D and V.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Matrix
getD()
Return the block diagonal eigenvalue matrixdouble[]
getImagEigenvalues()
Return the imaginary parts of the eigenvaluesdouble[]
getRealEigenvalues()
Return the real parts of the eigenvaluesMatrix
getV()
Return the eigenvector matrix
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Constructor Detail
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EigenvalueDecomposition
public EigenvalueDecomposition(Matrix Arg)
Check for symmetry, then construct the eigenvalue decomposition Structure to access D and V.- Parameters:
Arg
- Square matrix
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Method Detail
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getRealEigenvalues
public double[] getRealEigenvalues()
Return the real parts of the eigenvalues- Returns:
- real(diag(D))
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getImagEigenvalues
public double[] getImagEigenvalues()
Return the imaginary parts of the eigenvalues- Returns:
- imag(diag(D))
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