Documentation of 'weka.core.matrix.CholeskyDecomposition' Java class
CholeskyDecomposition
weka.core.matrix

Class CholeskyDecomposition

  • All Implemented Interfaces:
    java.io.Serializable, RevisionHandler


    public class CholeskyDecomposition
    extends java.lang.Object
    implements java.io.Serializable, RevisionHandler
    Cholesky Decomposition.

    For a symmetric, positive definite matrix A, the Cholesky decomposition is an lower triangular matrix L so that A = L*L'.

    If the matrix is not symmetric or positive definite, the constructor returns a partial decomposition and sets an internal flag that may be queried by the isSPD() method.

    Adapted from the JAMA package.

    See Also:
    Serialized Form
    • Constructor Summary

      Constructors 
      Constructor and Description
      CholeskyDecomposition(Matrix Arg)
      Cholesky algorithm for symmetric and positive definite matrix.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      Matrix getL()
      Return triangular factor.
      java.lang.String getRevision()
      Returns the revision string.
      boolean isSPD()
      Is the matrix symmetric and positive definite?
      Matrix solve(Matrix B)
      Solve A*X = B
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • CholeskyDecomposition

        public CholeskyDecomposition(Matrix Arg)
        Cholesky algorithm for symmetric and positive definite matrix.
        Parameters:
        Arg - Square, symmetric matrix.
    • Method Detail

      • isSPD

        public boolean isSPD()
        Is the matrix symmetric and positive definite?
        Returns:
        true if A is symmetric and positive definite.
      • getL

        public Matrix getL()
        Return triangular factor.
        Returns:
        L
      • solve

        public Matrix solve(Matrix B)
        Solve A*X = B
        Parameters:
        B - A Matrix with as many rows as A and any number of columns.
        Returns:
        X so that L*L'*X = B
        Throws:
        java.lang.IllegalArgumentException - Matrix row dimensions must agree.
        java.lang.RuntimeException - Matrix is not symmetric positive definite.
      • getRevision

        public java.lang.String getRevision()
        Returns the revision string.
        Specified by:
        getRevision in interface RevisionHandler
        Returns:
        the revision

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