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Merge pull request #4106 from martin-frbg/lapack852
Remove warnings and rename variable (Reference-LAPACK PR 852)
2 parents 4ecb685 + 329bd34 commit 3688c42

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lapack-netlib/SRC/cgelsd.f

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*> singular values which are less than RCOND times the largest singular
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*> value.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/cgesdd.f

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*>
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*> Note that the routine returns VT = V**H, not V.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/chbevd.f

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*> a complex Hermitian band matrix A. If eigenvectors are desired, it
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*> uses a divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/chbevd_2stage.f

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*> the reduction to tridiagonal. If eigenvectors are desired, it
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*> uses a divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/chbgvd.f

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*> and banded, and B is also positive definite. If eigenvectors are
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*> desired, it uses a divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/cheevd.f

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*> complex Hermitian matrix A. If eigenvectors are desired, it uses a
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*> divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/cheevd_2stage.f

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*> the reduction to tridiagonal. If eigenvectors are desired, it uses a
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*> divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/chegvd.f

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*> B are assumed to be Hermitian and B is also positive definite.
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*> If eigenvectors are desired, it uses a divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/chpevd.f

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*> a complex Hermitian matrix A in packed storage. If eigenvectors are
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*> desired, it uses a divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

lapack-netlib/SRC/chpgvd.f

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*> positive definite.
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*> If eigenvectors are desired, it uses a divide and conquer algorithm.
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*>
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*> The divide and conquer algorithm makes very mild assumptions about
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*> floating point arithmetic. It will work on machines with a guard
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*> digit in add/subtract, or on those binary machines without guard
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*> digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
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*> Cray-2. It could conceivably fail on hexadecimal or decimal machines
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*> without guard digits, but we know of none.
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*> \endverbatim
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*
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* Arguments:

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