Purpose
=======
DGETRI computes the inverse of a matrix using the LU factorization
computed by DGETRF.
This method inverts U and then computes inv(A) by solving the system
inv(A)*L = inv(U) for inv(A).
Namespace: DotNumerics.LinearAlgebra.CSLapackAssembly: DWSIM.MathOps.DotNumerics (in DWSIM.MathOps.DotNumerics.dll) Version: 1.0.0.0 (1.0.0.0)
Syntax public void Run(
int N,
ref double[] A,
int offset_a,
int LDA,
int[] IPIV,
int offset_ipiv,
ref double[] WORK,
int offset_work,
int LWORK,
ref int INFO
)
Public Sub Run (
N As Integer,
ByRef A As Double(),
offset_a As Integer,
LDA As Integer,
IPIV As Integer(),
offset_ipiv As Integer,
ByRef WORK As Double(),
offset_work As Integer,
LWORK As Integer,
ByRef INFO As Integer
)
Request Example
View SourceParameters
- N Int32
-
(input) INTEGER
The order of the matrix A. N .GE. 0.
- A Double
-
(input/output) DOUBLE PRECISION array, dimension (LDA,N)
On entry, the factors L and U from the factorization
A = P*L*U as computed by DGETRF.
On exit, if INFO = 0, the inverse of the original matrix A.
- offset_a Int32
-
- LDA Int32
-
(input) INTEGER
The leading dimension of the array A. LDA .GE. max(1,N).
- IPIV Int32
-
(input) INTEGER array, dimension (N)
The pivot indices from DGETRF; for 1.LE.i.LE.N, row i of the
matrix was interchanged with row IPIV(i).
- offset_ipiv Int32
-
- WORK Double
-
(workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO=0, then WORK(1) returns the optimal LWORK.
- offset_work Int32
-
- LWORK Int32
-
(input) INTEGER
The dimension of the array WORK. LWORK .GE. max(1,N).
For optimal performance LWORK .GE. N*NB, where NB is
the optimal blocksize returned by ILAENV.
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
- INFO Int32
-
(output) INTEGER
= 0: successful exit
.LT. 0: if INFO = -i, the i-th argument had an illegal value
.GT. 0: if INFO = i, U(i,i) is exactly zero; the matrix is
singular and its inverse could not be computed.
See Also