程序包 weka.core.matrix
类 EigenvalueDecomposition
java.lang.Object
weka.core.matrix.EigenvalueDecomposition
- 所有已实现的接口:
Serializable
,RevisionHandler
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().
Adapted from the JAMA package.- 版本:
- $Revision: 1.4 $
- 作者:
- The Mathworks and NIST, Fracpete (fracpete at waikato dot ac dot nz)
- 另请参阅:
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构造器概要
构造器构造器说明Check for symmetry, then construct the eigenvalue decomposition -
方法概要
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构造器详细资料
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EigenvalueDecomposition
Check for symmetry, then construct the eigenvalue decomposition- 参数:
Arg
- Square matrix
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方法详细资料
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getV
Return the eigenvector matrix- 返回:
- V
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getRealEigenvalues
public double[] getRealEigenvalues()Return the real parts of the eigenvalues- 返回:
- real(diag(D))
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getImagEigenvalues
public double[] getImagEigenvalues()Return the imaginary parts of the eigenvalues- 返回:
- imag(diag(D))
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getD
Return the block diagonal eigenvalue matrix- 返回:
- D
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getRevision
Returns the revision string.- 指定者:
getRevision
在接口中RevisionHandler
- 返回:
- the revision
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