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java.lang.Objectcern.colt.matrix.tdouble.algo.decomposition.DenseDoubleCholeskyDecomposition
public class DenseDoubleCholeskyDecomposition
For a symmetric, positive definite matrix A, the Cholesky decomposition is a lower triangular matrix L so that A = L*L'; If the matrix is not symmetric positive definite, the IllegalArgumentException is thrown.
Constructor Summary | |
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DenseDoubleCholeskyDecomposition(DoubleMatrix2D A)
Constructs and returns a new Cholesky decomposition object for a symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object. |
Method Summary | |
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DoubleMatrix2D |
getL()
Returns the triangular factor, L. |
DoubleMatrix2D |
getLtranspose()
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void |
solve(DoubleMatrix1D b)
Solves A*x = b(in-place). |
void |
solve(DoubleMatrix2D B)
Solves A*X = B(in-place). |
String |
toString()
Returns a String with (propertyName, propertyValue) pairs. |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public DenseDoubleCholeskyDecomposition(DoubleMatrix2D A)
A
- Square, symmetric positive definite matrix .
IllegalArgumentException
- if A is not square or is not a symmetric positive
definite.Method Detail |
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public DoubleMatrix2D getL()
public DoubleMatrix2D getLtranspose()
public void solve(DoubleMatrix2D B)
B
- A Matrix with as many rows as A and any number of
columns.
IllegalArgumentException
- if B.rows() != A.rows().public void solve(DoubleMatrix1D b)
b
- A vector with of size A.rows();
IllegalArgumentException
- if b.size() != A.rows().public String toString()
rank : 3 trace : 0
toString
in class Object
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