DoubleSymPDTriDiagFact Class 
Namespace: CenterSpace.NMath.Core
The DoubleSymPDTriDiagFact type exposes the following members.
Name  Description  

DoubleSymPDTriDiagFact(DoubleTriDiagMatrix) 
Constructs a DoubleSymPDTriDiagFact instance by factoring the given matrix.
By default the condition number for the matrix will not be computed
and will not be available from the ConditionNumber method.
 
DoubleSymPDTriDiagFact(DoubleTriDiagMatrix, Boolean) 
Constructs an DoubleSymPDTriDiagFact instance by factoring the given matrix,
optionally estimating the condition number of the matrix.

Name  Description  

Cols 
Gets the number of columns in the matrix represented
by the factorization.
 
IsGood 
Gets a boolean value which is true if the matrix
factorization succeeded and the factorization may be used
to solve equations, compute determinants, inverses, and so
on; otherwise false.
 
IsPositiveDefinite 
Gets a boolean value which is true if the
matrix is positive definite and the factorization
may be used to solve equations, compute determinants,
inverses, and so on; otherwise false.
 
Rows 
Gets the number of rows in the matrix represented
by the factorization.

Name  Description  

Clone 
Creates a deep copy of this factorization.
 
ConditionNumber 
Computes an estimate of the reciprocal of the condition number of a given matrix in the
1norm.
 
Determinant 
Computes the determinant of the factored matrix.
 
Factor(DoubleTriDiagMatrix) 
Factors the matrix A so that self represents the LDL' factorization
of A. By default the condition number for the matrix will not be computed
and will not be available from the ConditionNumber method.
 
Factor(DoubleTriDiagMatrix, Boolean) 
Factors the matrix A so that self represents the LDL' factorization
of A. By default the condition number for the matrix will not be computed
and will not be available from the ConditionNumber method.
 
Inverse 
Computes the inverse of the factored matrix.
 
Solve(DoubleMatrix) 
Uses this LDL' factorization to solve the linear system AX = B.
 
Solve(DoubleVector) 
Uses the LDL' factorization of self to solve the linear system Ax = b.

A = LDL'