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java.lang.Objectcern.colt.matrix.tfloat.algo.decomposition.SparseFloatCholeskyDecomposition
public class SparseFloatCholeskyDecomposition
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 | |
|---|---|
SparseFloatCholeskyDecomposition(FloatMatrix2D A,
int order)
Constructs and returns a new Cholesky decomposition object for a sparse symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object. |
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| Method Summary | |
|---|---|
FloatMatrix2D |
getL()
Returns the triangular factor, L. |
FloatMatrix2D |
getLtranspose()
Returns the triangular factor, L'. |
edu.emory.mathcs.csparsej.tfloat.Scs_common.Scss |
getSymbolicAnalysis()
Returns a copy of the symbolic Cholesky analysis object |
void |
solve(FloatMatrix1D b)
Solves A*x = b(in-place). |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public SparseFloatCholeskyDecomposition(FloatMatrix2D A,
int order)
A - Square, symmetric positive definite matrix .order - ordering option (0 or 1); 0: natural ordering, 1: amd(A+A')
IllegalArgumentException - if A is not square or is not sparse or is not a
symmetric positive definite.
IllegalArgumentException - if order != 0 || order != 1| Method Detail |
|---|
public FloatMatrix2D getL()
public FloatMatrix2D getLtranspose()
public edu.emory.mathcs.csparsej.tfloat.Scs_common.Scss getSymbolicAnalysis()
public void solve(FloatMatrix1D b)
b - A vector with of size A.rows();
IllegalArgumentException - if b.size() != A.rows().
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