Documentation of 'Catalano.Math.Decompositions.LUDecomposition' Java class
LUDecomposition
Catalano.Math.Decompositions

Class LUDecomposition

  • All Implemented Interfaces:
    java.io.Serializable


    public class LUDecomposition
    extends java.lang.Object
    implements java.io.Serializable
    LU Decomposition.

    For an m-by-n matrix A with m >= n, the LU decomposition is an m-by-n unit lower triangular matrix L, an n-by-n upper triangular matrix U, and a permutation vector piv of length m so that A(piv,:) = L*U. If m < n, then L is m-by-m and U is m-by-n.

    The LU decompostion with pivoting always exists, even if the matrix is singular, so the constructor will never fail. The primary use of the LU decomposition is in the solution of square systems of simultaneous linear equations. This will fail if isNonsingular() returns false.

    See Also:
    Serialized Form
    • Constructor Summary

      Constructors 
      Constructor and Description
      LUDecomposition(double[][] matrix)
      Initializes a new instance of the LUDecomposition class.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      double determinant()
      Calculate the determinant.
      double[] getDoublePivot()
      Get the pivot permutation vector as double type.
      double[][] getL()
      Get the Lower triangular factor.
      int[] getPivot()
      Get the pivot permutation vector.
      double[][] getU()
      Get the Upper triangular factor.
      double[][] inverse()
      Matrix inverse or pseudoinverse.
      boolean isNonsingular()
      Check if the matrix is non singular.
      double[][] solve(double[][] B)
      Solve A*X = B
      • Methods inherited from class java.lang.Object

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

      • LUDecomposition

        public LUDecomposition(double[][] matrix)
        Initializes a new instance of the LUDecomposition class.
        Parameters:
        matrix - Matrix.
    • Method Detail

      • isNonsingular

        public boolean isNonsingular()
        Check if the matrix is non singular.
        Returns:
        True if U, and hence A, is nonsingular.
      • inverse

        public double[][] inverse()
        Matrix inverse or pseudoinverse.
        Returns:
        Matrix inverse.
      • getL

        public double[][] getL()
        Get the Lower triangular factor.
        Returns:
        L.
      • getU

        public double[][] getU()
        Get the Upper triangular factor.
        Returns:
        U.
      • getPivot

        public int[] getPivot()
        Get the pivot permutation vector.
        Returns:
        Pivot.
      • getDoublePivot

        public double[] getDoublePivot()
        Get the pivot permutation vector as double type.
        Returns:
        Pivot.
      • determinant

        public double determinant()
        Calculate the determinant.
        Returns:
        Determinant.
      • solve

        public double[][] solve(double[][] 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*U*X = B(piv,:)
        Throws:
        java.lang.IllegalArgumentException - Matrix row dimensions must agree.
        java.lang.RuntimeException - Matrix is singular.

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