Documentation of 'mikera.matrixx.decompose.ICholeskyResult' Java class
ICholeskyResult
mikera.matrixx.decompose

Interface ICholeskyResult

  • All Known Subinterfaces:
    ICholeskyLDUResult
    All Known Implementing Classes:
    CholeskyResult


    public interface ICholeskyResult

    Interface for results of Cholesky Decomposition

    A Cholesky decomposition decomposes positive-definite symmetric matrices into either upper or lower triangles:

    L*LT=A
    RT*R=A

    where L is a lower triangular matrix and R is an upper triangular matrix. This is typically used to invert matrices, such as a covariance matrix.

    • Method Detail

      • getL

        AMatrix getL()

        Returns the lower triangular matrix from the decomposition.

        Returns:
        A lower triangular matrix.
      • getU

        AMatrix getU()

        Returns the upper triangular matrix from the decomposition. The Upper triangular matrix is the transpose of the lower triangular matrix in the Cholesky decomposition.

        Returns:
        A upper triangular matrix.

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