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authorjulie <julielangou@users.noreply.github.com>2011-11-01 22:02:31 +0000
committerjulie <julielangou@users.noreply.github.com>2011-11-01 22:02:31 +0000
commitd5c30c90bdecf38da1064e2ed52583634573e741 (patch)
tree480fc5ff31ee14b83116b6428aad79ea6e89362d /SRC/cgesvx.f
parent04670a68760fa27333f8bcef8172f71adc6880ef (diff)
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Never say never...
Diffstat (limited to 'SRC/cgesvx.f')
-rw-r--r--SRC/cgesvx.f15
1 files changed, 5 insertions, 10 deletions
diff --git a/SRC/cgesvx.f b/SRC/cgesvx.f
index 660e9118..17dc4ade 100644
--- a/SRC/cgesvx.f
+++ b/SRC/cgesvx.f
@@ -138,8 +138,7 @@
*> not 'N', then A must have been equilibrated by the scaling
*> factors in R and/or C. A is not modified if FACT = 'F' or
*> 'N', or if FACT = 'E' and EQUED = 'N' on exit.
-*> \endverbatim
-*> \verbatim
+*>
*> On exit, if EQUED .ne. 'N', A is scaled as follows:
*> EQUED = 'R': A := diag(R) * A
*> EQUED = 'C': A := A * diag(C)
@@ -159,13 +158,11 @@
*> contains the factors L and U from the factorization
*> A = P*L*U as computed by CGETRF. If EQUED .ne. 'N', then
*> AF is the factored form of the equilibrated matrix A.
-*> \endverbatim
-*> \verbatim
+*>
*> If FACT = 'N', then AF is an output argument and on exit
*> returns the factors L and U from the factorization A = P*L*U
*> of the original matrix A.
-*> \endverbatim
-*> \verbatim
+*>
*> If FACT = 'E', then AF is an output argument and on exit
*> returns the factors L and U from the factorization A = P*L*U
*> of the equilibrated matrix A (see the description of A for
@@ -185,13 +182,11 @@
*> contains the pivot indices from the factorization A = P*L*U
*> as computed by CGETRF; row i of the matrix was interchanged
*> with row IPIV(i).
-*> \endverbatim
-*> \verbatim
+*>
*> If FACT = 'N', then IPIV is an output argument and on exit
*> contains the pivot indices from the factorization A = P*L*U
*> of the original matrix A.
-*> \endverbatim
-*> \verbatim
+*>
*> If FACT = 'E', then IPIV is an output argument and on exit
*> contains the pivot indices from the factorization A = P*L*U
*> of the equilibrated matrix A.