Package org.hipparchus.linear
Class LUDecomposition
- java.lang.Object
-
- org.hipparchus.linear.LUDecomposition
-
public class LUDecomposition extends Object
Calculates the LUP-decomposition of a square matrix.The LUP-decomposition of a matrix A consists of three matrices L, U and P that satisfy: P×A = L×U. L is lower triangular (with unit diagonal terms), U is upper triangular and P is a permutation matrix. All matrices are m×m.
As shown by the presence of the P matrix, this decomposition is implemented using partial pivoting.
This class is based on the class with similar name from the JAMA library.
- a
getP
method has been added, - the
det
method has been renamed asgetDeterminant
, - the
getDoublePivot
method has been removed (but the int basedgetPivot
method has been kept), - the
solve
andisNonSingular
methods have been replaced by agetSolver
method and the equivalent methods provided by the returnedDecompositionSolver
.
- a
-
-
Constructor Summary
Constructors Constructor Description LUDecomposition(RealMatrix matrix)
Calculates the LU-decomposition of the given matrix.LUDecomposition(RealMatrix matrix, double singularityThreshold)
Calculates the LU-decomposition of the given matrix.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
getDeterminant()
Return the determinant of the matrixRealMatrix
getL()
Returns the matrix L of the decomposition.RealMatrix
getP()
Returns the P rows permutation matrix.int[]
getPivot()
Returns the pivot permutation vector.DecompositionSolver
getSolver()
Get a solver for finding the A × X = B solution in exact linear sense.RealMatrix
getU()
Returns the matrix U of the decomposition.
-
-
-
Constructor Detail
-
LUDecomposition
public LUDecomposition(RealMatrix matrix)
Calculates the LU-decomposition of the given matrix. This constructor uses 1e-11 as default value for the singularity threshold.- Parameters:
matrix
- Matrix to decompose.- Throws:
MathIllegalArgumentException
- if matrix is not square.
-
LUDecomposition
public LUDecomposition(RealMatrix matrix, double singularityThreshold)
Calculates the LU-decomposition of the given matrix.- Parameters:
matrix
- The matrix to decompose.singularityThreshold
- threshold (based on partial row norm) under which a matrix is considered singular- Throws:
MathIllegalArgumentException
- if matrix is not square
-
-
Method Detail
-
getL
public RealMatrix getL()
Returns the matrix L of the decomposition.L is a lower-triangular matrix
- Returns:
- the L matrix (or null if decomposed matrix is singular)
-
getU
public RealMatrix getU()
Returns the matrix U of the decomposition.U is an upper-triangular matrix
- Returns:
- the U matrix (or null if decomposed matrix is singular)
-
getP
public RealMatrix getP()
Returns the P rows permutation matrix.P is a sparse matrix with exactly one element set to 1.0 in each row and each column, all other elements being set to 0.0.
The positions of the 1 elements are given by the
pivot permutation vector
.- Returns:
- the P rows permutation matrix (or null if decomposed matrix is singular)
- See Also:
getPivot()
-
getPivot
public int[] getPivot()
Returns the pivot permutation vector.- Returns:
- the pivot permutation vector
- See Also:
getP()
-
getDeterminant
public double getDeterminant()
Return the determinant of the matrix- Returns:
- determinant of the matrix
-
getSolver
public DecompositionSolver getSolver()
Get a solver for finding the A × X = B solution in exact linear sense.- Returns:
- a solver
-
-