

SUBROUTINE PSGESVX(  FACT, TRANS, N, NRHS, A, IA, JA, DESCA, AF, IAF, JAF, DESCAF, IPIV, EQUED, R, C, B, IB, JB, DESCB, X, IX, JX, DESCX, RCOND, FERR, BERR, WORK, LWORK, IWORK, LIWORK, INFO ) 
CHARACTER EQUED, FACT, TRANS  
INTEGER IA, IAF, IB, INFO, IX, JA, JAF, JB, JX, LIWORK, LWORK, N, NRHS  
REAL RCOND  
INTEGER DESCA( * ), DESCAF( * ), DESCB( * ), DESCX( * ), IPIV( * ), IWORK( * )  
REAL A( * ), AF( * ), B( * ), BERR( * ), C( * ), FERR( * ), R( * ), WORK( * ), X( * )  
PSGESVX uses the LU factorization to compute the solution to a real system of linear equations A(IA:IA+N1,JA:JA+N1) * X = B(IB:IB+N1,JB:JB+NRHS1), where A(IA:IA+N1,JA:JA+N1) is an NbyN matrix and X and B(IB:IB+N1,JB:JB+NRHS1) are NbyNRHS matrices.Error bounds on the solution and a condition estimate are also provided.
Notes
=====Each global data object is described by an associated description vector. This vector stores the information required to establish the mapping between an object element and its corresponding process and memory location.
Let A be a generic term for any 2D block cyclicly distributed array. Such a global array has an associated description vector DESCA. In the following comments, the character _ should be read as "of the global array".
NOTATION STORED IN EXPLANATION
   DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case,
DTYPE_A = 1.
CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
the BLACS process grid A is distribu
ted over. The context itself is glo
bal, but the handle (the integer
value) may vary.
M_A (global) DESCA( M_ ) The number of rows in the global
array A.
N_A (global) DESCA( N_ ) The number of columns in the global
array A.
MB_A (global) DESCA( MB_ ) The blocking factor used to distribute
the rows of the array.
NB_A (global) DESCA( NB_ ) The blocking factor used to distribute
the columns of the array.
RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
row of the array A is distributed. CSRC_A (global) DESCA( CSRC_ ) The process column over which the
first column of the array A is
distributed.
LLD_A (local) DESCA( LLD_ ) The leading dimension of the local
array. LLD_A >= MAX(1,LOCr(M_A)).Let K be the number of rows or columns of a distributed matrix, and assume that its process grid has dimension p x q.
LOCr( K ) denotes the number of elements of K that a process would receive if K were distributed over the p processes of its process column.
Similarly, LOCc( K ) denotes the number of elements of K that a process would receive if K were distributed over the q processes of its process row.
The values of LOCr() and LOCc() may be determined via a call to the ScaLAPACK tool function, NUMROC:
LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ). An upper bound for these quantities may be computed by:
LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
In the following description, A denotes A(IA:IA+N1,JA:JA+N1), B denotes B(IB:IB+N1,JB:JB+NRHS1) and X denotes
X(IX:IX+N1,JX:JX+NRHS1).The following steps are performed:
1. If FACT = ’E’, real scaling factors are computed to equilibrate
the system:
TRANS = ’N’: diag(R)*A*diag(C) *inv(diag(C))*X = diag(R)*B
TRANS = ’T’: (diag(R)*A*diag(C))**T *inv(diag(R))*X = diag(C)*B
TRANS = ’C’: (diag(R)*A*diag(C))**H *inv(diag(R))*X = diag(C)*B
Whether or not the system will be equilibrated depends on the
scaling of the matrix A, but if equilibration is used, A is
overwritten by diag(R)*A*diag(C) and B by diag(R)*B (if TRANS=’N’)
or diag(C)*B (if TRANS = ’T’ or ’C’).2. If FACT = ’N’ or ’E’, the LU decomposition is used to factor the
matrix A (after equilibration if FACT = ’E’) as
A = P * L * U,
where P is a permutation matrix, L is a unit lower triangular
matrix, and U is upper triangular.3. The factored form of A is used to estimate the condition number
of the matrix A. If the reciprocal of the condition number is
less than machine precision, steps 46 are skipped.4. The system of equations is solved for X using the factored form
of A.5. Iterative refinement is applied to improve the computed solution
matrix and calculate error bounds and backward error estimates
for it.6. If FACT = ’E’ and equilibration was used, the matrix X is
premultiplied by diag(C) (if TRANS = ’N’) or diag(R) (if
TRANS = ’T’ or ’C’) so that it solves the original system
before equilibration.
FACT (global input) CHARACTER Specifies whether or not the factored form of the matrix A(IA:IA+N1,JA:JA+N1) is supplied on entry, and if not,
whether the matrix A(IA:IA+N1,JA:JA+N1) should be equilibrated before it is factored. = ’F’: On entry, AF(IAF:IAF+N1,JAF:JAF+N1) and IPIV con
tain the factored form of A(IA:IA+N1,JA:JA+N1). If EQUED is not ’N’, the matrix A(IA:IA+N1,JA:JA+N1) has been equilibrated with scaling factors given by R and C. A(IA:IA+N1,JA:JA+N1), AF(IAF:IAF+N1,JAF:JAF+N1), and IPIV are not modified. = ’N’: The matrix A(IA:IA+N1,JA:JA+N1) will be copied to
AF(IAF:IAF+N1,JAF:JAF+N1) and factored.
= ’E’: The matrix A(IA:IA+N1,JA:JA+N1) will be equili brated if necessary, then copied to AF(IAF:IAF+N1,JAF:JAF+N1) and factored.TRANS (global input) CHARACTER Specifies the form of the system of equations:
= ’N’: A(IA:IA+N1,JA:JA+N1) * X(IX:IX+N1,JX:JX+NRHS1)
= B(IB:IB+N1,JB:JB+NRHS1) (No transpose)
= ’T’: A(IA:IA+N1,JA:JA+N1)**T * X(IX:IX+N1,JX:JX+NRHS1)
= B(IB:IB+N1,JB:JB+NRHS1) (Transpose)
= ’C’: A(IA:IA+N1,JA:JA+N1)**H * X(IX:IX+N1,JX:JX+NRHS1)
= B(IB:IB+N1,JB:JB+NRHS1) (Transpose)N (global input) INTEGER The number of rows and columns to be operated on, i.e. the order of the distributed submatrix A(IA:IA+N1,JA:JA+N1). N >= 0. NRHS (global input) INTEGER The number of righthand sides, i.e., the number of columns of the distributed submatrices B(IB:IB+N1,JB:JB+NRHS1) and
X(IX:IX+N1,JX:JX+NRHS1). NRHS >= 0.A (local input/local output) REAL pointer into the local memory to an array of local dimension (LLD_A,LOCc(JA+N1)). On entry, the NbyN matrix A(IA:IA+N1,JA:JA+N1). If FACT = ’F’ and EQUED is not ’N’,
then A(IA:IA+N1,JA:JA+N1) must have been equilibrated by
the scaling factors in R and/or C. A(IA:IA+N1,JA:JA+N1) is not modified if FACT = ’F’ or ’N’, or if FACT = ’E’ and EQUED = ’N’ on exit.On exit, if EQUED .ne. ’N’, A(IA:IA+N1,JA:JA+N1) is scaled as follows:
EQUED = ’R’: A(IA:IA+N1,JA:JA+N1) :=
diag(R) * A(IA:IA+N1,JA:JA+N1)
EQUED = ’C’: A(IA:IA+N1,JA:JA+N1) :=
A(IA:IA+N1,JA:JA+N1) * diag(C)
EQUED = ’B’: A(IA:IA+N1,JA:JA+N1) :=
diag(R) * A(IA:IA+N1,JA:JA+N1) * diag(C).IA (global input) INTEGER The row index in the global array A indicating the first row of sub( A ). JA (global input) INTEGER The column index in the global array A indicating the first column of sub( A ). DESCA (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix A. AF (local input or local output) REAL pointer into the local memory to an array of local dimension (LLD_AF,LOCc(JA+N1)). If FACT = ’F’, then AF(IAF:IAF+N1,JAF:JAF+N1) is an input argument and on entry contains the factors L and U from the factorization A(IA:IA+N1,JA:JA+N1) = P*L*U as computed by PSGETRF. If EQUED .ne. ’N’, then AF is the factored form of the equilibrated matrix A(IA:IA+N1,JA:JA+N1). If FACT = ’N’, then AF(IAF:IAF+N1,JAF:JAF+N1) is an output argument and on exit returns the factors L and U from the factorization A(IA:IA+N1,JA:JA+N1) = P*L*U of the original
matrix A(IA:IA+N1,JA:JA+N1).If FACT = ’E’, then AF(IAF:IAF+N1,JAF:JAF+N1) is an output argument and on exit returns the factors L and U from the factorization A(IA:IA+N1,JA:JA+N1) = P*L*U of the equili
brated matrix A(IA:IA+N1,JA:JA+N1) (see the description of
A(IA:IA+N1,JA:JA+N1) for the form of the equilibrated matrix).IAF (global input) INTEGER The row index in the global array AF indicating the first row of sub( AF ). JAF (global input) INTEGER The column index in the global array AF indicating the first column of sub( AF ). DESCAF (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix AF. IPIV (local input or local output) INTEGER array, dimension LOCr(M_A)+MB_A. If FACT = ’F’, then IPIV is an input argu ment and on entry contains the pivot indices from the fac torization A(IA:IA+N1,JA:JA+N1) = P*L*U as computed by PSGETRF; IPIV(i) > The global row local row i was swapped with. This array must be aligned with A( IA:IA+N1, * ). If FACT = ’N’, then IPIV is an output argument and on exit contains the pivot indices from the factorization A(IA:IA+N1,JA:JA+N1) = P*L*U of the original matrix
A(IA:IA+N1,JA:JA+N1).If FACT = ’E’, then IPIV is an output argument and on exit contains the pivot indices from the factorization A(IA:IA+N1,JA:JA+N1) = P*L*U of the equilibrated matrix
A(IA:IA+N1,JA:JA+N1).EQUED (global input or global output) CHARACTER Specifies the form of equilibration that was done. = ’N’: No equilibration (always true if FACT = ’N’).
= ’R’: Row equilibration, i.e., A(IA:IA+N1,JA:JA+N1) has been premultiplied by diag(R). = ’C’: Column equilibration, i.e., A(IA:IA+N1,JA:JA+N1) has been postmultiplied by diag(C). = ’B’: Both row and column equilibration, i.e.,
A(IA:IA+N1,JA:JA+N1) has been replaced by
diag(R) * A(IA:IA+N1,JA:JA+N1) * diag(C). EQUED is an input variable if FACT = ’F’; otherwise, it is an output variable.R (local input or local output) REAL array, dimension LOCr(M_A). The row scale factors for A(IA:IA+N1,JA:JA+N1).
If EQUED = ’R’ or ’B’, A(IA:IA+N1,JA:JA+N1) is multiplied on the left by diag(R); if EQUED=’N’ or ’C’, R is not acces sed. R is an input variable if FACT = ’F’; otherwise, R is an output variable. If FACT = ’F’ and EQUED = ’R’ or ’B’, each element of R must be positive. R is replicated in every process column, and is aligned with the distributed matrix A.C (local input or local output) REAL array, dimension LOCc(N_A). The column scale factors for A(IA:IA+N1,JA:JA+N1).
If EQUED = ’C’ or ’B’, A(IA:IA+N1,JA:JA+N1) is multiplied on the right by diag(C); if EQUED = ’N’ or ’R’, C is not accessed. C is an input variable if FACT = ’F’; otherwise, C is an output variable. If FACT = ’F’ and EQUED = ’C’ or C is replicated in every process row, and is aligned with the distributed matrix A.B (local input/local output) REAL pointer into the local memory to an array of local dimension (LLD_B,LOCc(JB+NRHS1) ). On entry, the NbyNRHS righthand side matrix B(IB:IB+N1,JB:JB+NRHS1). On exit, if
EQUED = ’N’, B(IB:IB+N1,JB:JB+NRHS1) is not modified; if TRANS = ’N’ and EQUED = ’R’ or ’B’, B is overwritten by diag(R)*B(IB:IB+N1,JB:JB+NRHS1); if TRANS = ’T’ or ’C’
and EQUED = ’C’ or ’B’, B(IB:IB+N1,JB:JB+NRHS1) is over
written by diag(C)*B(IB:IB+N1,JB:JB+NRHS1).IB (global input) INTEGER The row index in the global array B indicating the first row of sub( B ). JB (global input) INTEGER The column index in the global array B indicating the first column of sub( B ). DESCB (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix B. X (local input/local output) REAL pointer into the local memory to an array of local dimension (LLD_X, LOCc(JX+NRHS1)). If INFO = 0, the NbyNRHS solution matrix X(IX:IX+N1,JX:JX+NRHS1) to the original
system of equations. Note that A(IA:IA+N1,JA:JA+N1) and
B(IB:IB+N1,JB:JB+NRHS1) are modified on exit if EQUED .ne. ’N’, and the solution to the equilibrated system is inv(diag(C))*X(IX:IX+N1,JX:JX+NRHS1) if TRANS = ’N’ and EQUED = ’C’ or ’B’, or inv(diag(R))*X(IX:IX+N1,JX:JX+NRHS1) if TRANS = ’T’ or ’C’ and EQUED = ’R’ or ’B’.IX (global input) INTEGER The row index in the global array X indicating the first row of sub( X ). JX (global input) INTEGER The column index in the global array X indicating the first column of sub( X ). DESCX (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix X. RCOND (global output) REAL The estimate of the reciprocal condition number of the matrix A(IA:IA+N1,JA:JA+N1) after equilibration (if done). If RCOND is less than the machine precision (in particular, if RCOND = 0), the matrix is singular to working precision. This condition is indicated by a return code of INFO > 0. FERR (local output) REAL array, dimension LOCc(N_B) The estimated forward error bounds for each solution vector X(j) (the jth column of the solution matrix X(IX:IX+N1,JX:JX+NRHS1). If XTRUE is the true solution, FERR(j) bounds the magnitude of the largest entry in (X(j)  XTRUE) divided by the magnitude of the largest entry in X(j). The estimate is as reliable as the estimate for RCOND, and is almost always a slight overestimate of the true error. FERR is replicated in every process row, and is aligned with the matrices B and X. BERR (local output) REAL array, dimension LOCc(N_B). The componentwise relative backward error of each solution vector X(j) (i.e., the smallest relative change in any entry of A(IA:IA+N1,JA:JA+N1) or
B(IB:IB+N1,JB:JB+NRHS1) that makes X(j) an exact solution). BERR is replicated in every process row, and is aligned with the matrices B and X.WORK (local workspace/local output) REAL array, dimension (LWORK) On exit, WORK(1) returns the minimal and optimal LWORK. LWORK (local or global input) INTEGER The dimension of the array WORK. LWORK is local input and must be at least LWORK = MAX( PSGECON( LWORK ), PSGERFS( LWORK ) ) + LOCr( N_A ). If LWORK = 1, then LWORK is global input and a workspace query is assumed; the routine only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by PXERBLA.
IWORK (local workspace/local output) INTEGER array, dimension (LIWORK) On exit, IWORK(1) returns the minimal and optimal LIWORK. LIWORK (local or global input) INTEGER The dimension of the array IWORK. LIWORK is local input and must be at least LIWORK = LOCr(N_A). If LIWORK = 1, then LIWORK is global input and a workspace query is assumed; the routine only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by PXERBLA.
INFO (global output) INTEGER = 0: successful exit
< 0: if INFO = i, the ith argument had an illegal value
> 0: if INFO = i, and i is
<= N: U(IA+I1,IA+I1) is exactly zero. The factorization has been completed, but the factor U is exactly singular, so the solution and error bounds could not be computed. = N+1: RCOND is less than machine precision. The factorization has been completed, but the matrix is singular to working precision, and the solution and error bounds have not been computed.
ScaLAPACK version 1.7  PSGESVX (l)  13 August 2001 
Visit the GSP FreeBSD Man Page Interface.
Output converted with manServer 1.07.