Purpose
=======
DTGSJA computes the generalized singular value decomposition (GSVD)
of two real upper triangular (or trapezoidal) matrices A and B.
On entry, it is assumed that matrices A and B have the following
forms, which may be obtained by the preprocessing subroutine DGGSVP
from a general M-by-N matrix A and P-by-N matrix B:
N-K-L K L
A = K ( 0 A12 A13 ) if M-K-L .GE. 0;
L ( 0 0 A23 )
M-K-L ( 0 0 0 )
N-K-L K L
A = K ( 0 A12 A13 ) if M-K-L .LT. 0;
M-K ( 0 0 A23 )
N-K-L K L
B = L ( 0 0 B13 )
P-L ( 0 0 0 )
where the K-by-K matrix A12 and L-by-L matrix B13 are nonsingular
upper triangular; A23 is L-by-L upper triangular if M-K-L .GE. 0,
otherwise A23 is (M-K)-by-L upper trapezoidal.
On exit,
U'*A*Q = D1*( 0 R ), V'*B*Q = D2*( 0 R ),
where U, V and Q are orthogonal matrices, Z' denotes the transpose
of Z, R is a nonsingular upper triangular matrix, and D1 and D2 are
``diagonal'' matrices, which are of the following structures:
If M-K-L .GE. 0,
K L
D1 = K ( I 0 )
L ( 0 C )
M-K-L ( 0 0 )
K L
D2 = L ( 0 S )
P-L ( 0 0 )
N-K-L K L
( 0 R ) = K ( 0 R11 R12 ) K
L ( 0 0 R22 ) L
where
C = diag( ALPHA(K+1), ... , ALPHA(K+L) ),
S = diag( BETA(K+1), ... , BETA(K+L) ),
C**2 + S**2 = I.
R is stored in A(1:K+L,N-K-L+1:N) on exit.
If M-K-L .LT. 0,
K M-K K+L-M
D1 = K ( I 0 0 )
M-K ( 0 C 0 )
K M-K K+L-M
D2 = M-K ( 0 S 0 )
K+L-M ( 0 0 I )
P-L ( 0 0 0 )
N-K-L K M-K K+L-M
( 0 R ) = K ( 0 R11 R12 R13 )
M-K ( 0 0 R22 R23 )
K+L-M ( 0 0 0 R33 )
where
C = diag( ALPHA(K+1), ... , ALPHA(M) ),
S = diag( BETA(K+1), ... , BETA(M) ),
C**2 + S**2 = I.
R = ( R11 R12 R13 ) is stored in A(1:M, N-K-L+1:N) and R33 is stored
( 0 R22 R23 )
in B(M-K+1:L,N+M-K-L+1:N) on exit.
The computation of the orthogonal transformation matrices U, V or Q
is optional. These matrices may either be formed explicitly, or they
may be postmultiplied into input matrices U1, V1, or Q1.
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(
string JOBU,
string JOBV,
string JOBQ,
int M,
int P,
int N,
int K,
int L,
ref double[] A,
int offset_a,
int LDA,
ref double[] B,
int offset_b,
int LDB,
double TOLA,
double TOLB,
ref double[] ALPHA,
int offset_alpha,
ref double[] BETA,
int offset_beta,
ref double[] U,
int offset_u,
int LDU,
ref double[] V,
int offset_v,
int LDV,
ref double[] Q,
int offset_q,
int LDQ,
ref double[] WORK,
int offset_work,
ref int NCYCLE,
ref int INFO
)
Public Sub Run (
JOBU As String,
JOBV As String,
JOBQ As String,
M As Integer,
P As Integer,
N As Integer,
K As Integer,
L As Integer,
ByRef A As Double(),
offset_a As Integer,
LDA As Integer,
ByRef B As Double(),
offset_b As Integer,
LDB As Integer,
TOLA As Double,
TOLB As Double,
ByRef ALPHA As Double(),
offset_alpha As Integer,
ByRef BETA As Double(),
offset_beta As Integer,
ByRef U As Double(),
offset_u As Integer,
LDU As Integer,
ByRef V As Double(),
offset_v As Integer,
LDV As Integer,
ByRef Q As Double(),
offset_q As Integer,
LDQ As Integer,
ByRef WORK As Double(),
offset_work As Integer,
ByRef NCYCLE As Integer,
ByRef INFO As Integer
)
Request Example
View SourceParameters
- JOBU String
-
(input) CHARACTER*1
= 'U': U must contain an orthogonal matrix U1 on entry, and
the product U1*U is returned;
= 'I': U is initialized to the unit matrix, and the
orthogonal matrix U is returned;
= 'N': U is not computed.
- JOBV String
-
(input) CHARACTER*1
= 'V': V must contain an orthogonal matrix V1 on entry, and
the product V1*V is returned;
= 'I': V is initialized to the unit matrix, and the
orthogonal matrix V is returned;
= 'N': V is not computed.
- JOBQ String
-
(input) CHARACTER*1
= 'Q': Q must contain an orthogonal matrix Q1 on entry, and
the product Q1*Q is returned;
= 'I': Q is initialized to the unit matrix, and the
orthogonal matrix Q is returned;
= 'N': Q is not computed.
- M Int32
-
(input) INTEGER
The number of rows of the matrix A. M .GE. 0.
- P Int32
-
(input) INTEGER
The number of rows of the matrix B. P .GE. 0.
- N Int32
-
(input) INTEGER
The number of columns of the matrices A and B. N .GE. 0.
- K Int32
-
L
- L Int32
-
( 0 0 A23 )
- A Double
-
(input/output) DOUBLE PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, A(N-K+1:N,1:MIN(K+L,M) ) contains the triangular
matrix R or part of R. See Purpose for details.
- offset_a Int32
-
- LDA Int32
-
(input) INTEGER
The leading dimension of the array A. LDA .GE. max(1,M).
- B Double
-
(input/output) DOUBLE PRECISION array, dimension (LDB,N)
On entry, the P-by-N matrix B.
On exit, if necessary, B(M-K+1:L,N+M-K-L+1:N) contains
a part of R. See Purpose for details.
- offset_b Int32
-
- LDB Int32
-
(input) INTEGER
The leading dimension of the array B. LDB .GE. max(1,P).
- TOLA Double
-
(input) DOUBLE PRECISION
- TOLB Double
-
(input) DOUBLE PRECISION
TOLA and TOLB are the convergence criteria for the Jacobi-
Kogbetliantz iteration procedure. Generally, they are the
same as used in the preprocessing step, say
TOLA = max(M,N)*norm(A)*MAZHEPS,
TOLB = max(P,N)*norm(B)*MAZHEPS.
- ALPHA Double
-
(output) DOUBLE PRECISION array, dimension (N)
- offset_alpha Int32
-
- BETA Double
-
(output) DOUBLE PRECISION array, dimension (N)
On exit, ALPHA and BETA contain the generalized singular
value pairs of A and B;
ALPHA(1:K) = 1,
BETA(1:K) = 0,
and if M-K-L .GE. 0,
ALPHA(K+1:K+L) = diag(C),
BETA(K+1:K+L) = diag(S),
or if M-K-L .LT. 0,
ALPHA(K+1:M)= C, ALPHA(M+1:K+L)= 0
BETA(K+1:M) = S, BETA(M+1:K+L) = 1.
Furthermore, if K+L .LT. N,
ALPHA(K+L+1:N) = 0 and
BETA(K+L+1:N) = 0.
- offset_beta Int32
-
- U Double
-
(input/output) DOUBLE PRECISION array, dimension (LDU,M)
On entry, if JOBU = 'U', U must contain a matrix U1 (usually
the orthogonal matrix returned by DGGSVP).
On exit,
if JOBU = 'I', U contains the orthogonal matrix U;
if JOBU = 'U', U contains the product U1*U.
If JOBU = 'N', U is not referenced.
- offset_u Int32
-
- LDU Int32
-
(input) INTEGER
The leading dimension of the array U. LDU .GE. max(1,M) if
JOBU = 'U'; LDU .GE. 1 otherwise.
- V Double
-
(input/output) DOUBLE PRECISION array, dimension (LDV,P)
On entry, if JOBV = 'V', V must contain a matrix V1 (usually
the orthogonal matrix returned by DGGSVP).
On exit,
if JOBV = 'I', V contains the orthogonal matrix V;
if JOBV = 'V', V contains the product V1*V.
If JOBV = 'N', V is not referenced.
- offset_v Int32
-
- LDV Int32
-
(input) INTEGER
The leading dimension of the array V. LDV .GE. max(1,P) if
JOBV = 'V'; LDV .GE. 1 otherwise.
- Q Double
-
(input/output) DOUBLE PRECISION array, dimension (LDQ,N)
On entry, if JOBQ = 'Q', Q must contain a matrix Q1 (usually
the orthogonal matrix returned by DGGSVP).
On exit,
if JOBQ = 'I', Q contains the orthogonal matrix Q;
if JOBQ = 'Q', Q contains the product Q1*Q.
If JOBQ = 'N', Q is not referenced.
- offset_q Int32
-
- LDQ Int32
-
(input) INTEGER
The leading dimension of the array Q. LDQ .GE. max(1,N) if
JOBQ = 'Q'; LDQ .GE. 1 otherwise.
- WORK Double
-
(workspace) DOUBLE PRECISION array, dimension (2*N)
- offset_work Int32
-
- NCYCLE Int32
-
(output) INTEGER
The number of cycles required for convergence.
- INFO Int32
-
(output) INTEGER
= 0: successful exit
.LT. 0: if INFO = -i, the i-th argument had an illegal value.
= 1: the procedure does not converge after MAXIT cycles.
See Also