Package smile.math.matrix.fp32

Class Matrix.LU

java.lang.Object
smile.math.matrix.fp32.Matrix.LU
All Implemented Interfaces:
Serializable
Enclosing class:
Matrix
public static class Matrix.LU extends Object implements Serializable
The 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 decomposition with pivoting always exists, even if the matrix is singular. The primary use of the LU decomposition is in the solution of square systems of simultaneous linear equations if it is not singular. The decomposition can also be used to calculate the determinant.

See Also:

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    final int
    info
    If info = 0, the LU decomposition was successful.
    final int[]
    ipiv
    The pivot vector.
    final Matrix
    lu
    The LU decomposition.

  • Constructor Summary

    Constructors
    Constructor
    Description
    LU(Matrix lu, int[] ipiv, int info)
    Constructor.

  • Method Summary

    Modifier and Type
    Method
    Description
    float
    det()
    Returns the matrix determinant.
    Matrix
    inverse()
    Returns the inverse of matrix.
    boolean
    isSingular()
    Returns true if the matrix is singular.
    float[]
    solve(float[] b)
    Solve A * x = b.
    void
    solve(Matrix B)
    Solve A * X = B.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Field Details

    • lu

      public final Matrix lu
      The LU decomposition.

    • ipiv

      public final int[] ipiv
      The pivot vector.

    • info

      public final int info
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.

  • Constructor Details

    • LU

      public LU(Matrix lu, int[] ipiv, int info)
      Constructor.
      Parameters:
      lu - LU decomposition matrix.
      ipiv - the pivot vector.
      info - info > 0 if the matrix is singular.

  • Method Details

    • isSingular

      public boolean isSingular()
      Returns true if the matrix is singular.
      Returns:
      true if the matrix is singular.

    • det

      public float det()
      Returns the matrix determinant.
      Returns:
      the matrix determinant.

    • inverse

      public Matrix inverse()
      Returns the inverse of matrix. For pseudo inverse, use QRDecomposition.
      Returns:
      the inverse of matrix.

    • solve

      public float[] solve(float[] b)
      Solve A * x = b.
      Parameters:
      b - the right hand side of linear system.
      Returns:
      the solution vector.
      Throws:
      RuntimeException - when the matrix is singular.

    • solve

      public void solve(Matrix B)
      Solve A * X = B. B will be overwritten with the solution matrix on output.
      Parameters:
      B - the right hand side of linear system. On output, B will be overwritten with the solution matrix.
      Throws:
      RuntimeException - when the matrix is singular.