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* >
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* > CGELS solves overdetermined or underdetermined complex linear systems
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* > involving an M-by-N matrix A, or its conjugate-transpose, using a QR
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- * > or LQ factorization of A. It is assumed that A has full rank.
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+ * > or LQ factorization of A.
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+ * >
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+ * > It is assumed that A has full rank, and only a rudimentary protection
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+ * > against rank-deficient matrices is provided. This subroutine only detects
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+ * > exact rank-deficiency, where a diagonal element of the triangular factor
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+ * > of A is exactly zero.
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+ * >
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+ * > It is conceivable for one (or more) of the diagonal elements of the triangular
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+ * > factor of A to be subnormally tiny numbers without this subroutine signalling
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+ * > an error. The solutions computed for such almost-rank-deficient matrices may
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+ * > be less accurate due to a loss of numerical precision.
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* >
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* > The following options are provided:
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* >
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* > = 0: successful exit
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* > < 0: if INFO = -i, the i-th argument had an illegal value
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* > > 0: if INFO = i, the i-th diagonal element of the
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- * > triangular factor of A is zero, so that A does not have
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+ * > triangular factor of A is exactly zero, so that A does not have
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* > full rank; the least squares solution could not be
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* > computed.
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* > \endverbatim
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* >
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* > DGELS solves overdetermined or underdetermined real linear systems
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* > involving an M-by-N matrix A, or its transpose, using a QR or LQ
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- * > factorization of A. It is assumed that A has full rank.
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+ * > factorization of A.
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+ * >
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+ * > It is assumed that A has full rank, and only a rudimentary protection
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+ * > against rank-deficient matrices is provided. This subroutine only detects
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+ * > exact rank-deficiency, where a diagonal element of the triangular factor
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+ * > of A is exactly zero.
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+ * >
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+ * > It is conceivable for one (or more) of the diagonal elements of the triangular
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+ * > factor of A to be subnormally tiny numbers without this subroutine signalling
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+ * > an error. The solutions computed for such almost-rank-deficient matrices may
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+ * > be less accurate due to a loss of numerical precision.
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* >
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* > The following options are provided:
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* >
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* > = 0: successful exit
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* > < 0: if INFO = -i, the i-th argument had an illegal value
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* > > 0: if INFO = i, the i-th diagonal element of the
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- * > triangular factor of A is zero, so that A does not have
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+ * > triangular factor of A is exactly zero, so that A does not have
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* > full rank; the least squares solution could not be
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* > computed.
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* > \endverbatim
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* >
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* > SGELS solves overdetermined or underdetermined real linear systems
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* > involving an M-by-N matrix A, or its transpose, using a QR or LQ
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- * > factorization of A. It is assumed that A has full rank.
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+ * > factorization of A.
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+ * >
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+ * > It is assumed that A has full rank, and only a rudimentary protection
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+ * > against rank-deficient matrices is provided. This subroutine only detects
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+ * > exact rank-deficiency, where a diagonal element of the triangular factor
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+ * > of A is exactly zero.
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+ * >
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+ * > It is conceivable for one (or more) of the diagonal elements of the triangular
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+ * > factor of A to be subnormally tiny numbers without this subroutine signalling
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+ * > an error. The solutions computed for such almost-rank-deficient matrices may
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+ * > be less accurate due to a loss of numerical precision.
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* >
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* > The following options are provided:
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* >
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* > = 0: successful exit
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* > < 0: if INFO = -i, the i-th argument had an illegal value
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* > > 0: if INFO = i, the i-th diagonal element of the
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- * > triangular factor of A is zero, so that A does not have
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+ * > triangular factor of A is exactly zero, so that A does not have
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* > full rank; the least squares solution could not be
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* > computed.
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* > \endverbatim
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* >
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* > ZGELS solves overdetermined or underdetermined complex linear systems
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* > involving an M-by-N matrix A, or its conjugate-transpose, using a QR
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- * > or LQ factorization of A. It is assumed that A has full rank.
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+ * > or LQ factorization of A.
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+ * >
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+ * > It is assumed that A has full rank, and only a rudimentary protection
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+ * > against rank-deficient matrices is provided. This subroutine only detects
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+ * > exact rank-deficiency, where a diagonal element of the triangular factor
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+ * > of A is exactly zero.
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+ * >
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+ * > It is conceivable for one (or more) of the diagonal elements of the triangular
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+ * > factor of A to be subnormally tiny numbers without this subroutine signalling
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+ * > an error. The solutions computed for such almost-rank-deficient matrices may
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+ * > be less accurate due to a loss of numerical precision.
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* >
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* > The following options are provided:
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* >
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* > = 0: successful exit
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* > < 0: if INFO = -i, the i-th argument had an illegal value
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* > > 0: if INFO = i, the i-th diagonal element of the
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- * > triangular factor of A is zero, so that A does not have
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+ * > triangular factor of A is exactly zero, so that A does not have
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* > full rank; the least squares solution could not be
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* > computed.
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* > \endverbatim
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