CholeskyLDLDecomposition (ejml-core 0.39 API)

All Superinterfaces:

DecompositionInterface<MatrixType>

All Known Subinterfaces:

CholeskyLDLDecomposition_F32<MatrixType>, CholeskyLDLDecomposition_F64<MatrixType>
```
public interface CholeskyLDLDecomposition<MatrixType extends Matrix>
extends DecompositionInterface<MatrixType>
```
Cholesky LDL^T decomposition.

A Cholesky LDL decomposition decomposes positive-definite symmetric matrices into:

L*D*L^T=A

where L is a lower triangular matrix and D is a diagonal matrix. The main advantage of LDL versus LL or RR Cholesky is that it avoid a square root operation.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`MatrixType`	`getD(MatrixType D)`	Returns the diagonal matrixfrom the decomposition.
`MatrixType`	`getL(MatrixType L)`	Returns the lower triangular matrix from the decomposition.

Methods inherited from interface org.ejml.interfaces.decomposition.DecompositionInterface
decompose, inputModified

- Method Detail
  - getL
```
MatrixType getL(MatrixType L)
```
    Returns the lower triangular matrix from the decomposition.
    
    If an input is provided that matrix is used to write the results to. Otherwise a new matrix is created and the results written to it.
    
    Parameters:
    
    L - If not null then the decomposed matrix is written here.
    
    Returns:
    
    A lower triangular matrix.
  - getD
```
MatrixType getD(MatrixType D)
```
    Returns the diagonal matrixfrom the decomposition.
    
    If an input is provided that matrix is used to write the results to. Otherwise a new matrix is created and the results written to it.
    
    Parameters:
    
    D - If not null it will be used to store the diagonal matrix
    
    Returns:
    
    D Square diagonal matrix