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Update doc/specs/stdlib_linalg.md
Co-authored-by: Jeremie Vandenplas <jeremie.vandenplas@gmail.com>
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doc/specs/stdlib_linalg.md

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@@ -963,7 +963,7 @@ the full problem is solved. On reduced matrices (`shape(Q)==[m,k]`, `shape(R)==[
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`r`: Shall be a rank-2 array of the same kind as `a`, containing the upper triangular matrix `r`. It is an `intent(out)` argument. It should have a shape equal to either `[m,n]` or `[k,n]`, whether the full or the reduced problem is sought for.
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`pivots` (optional): Shall be an `integer` array of size `n`. If provided, QR factorization with column-pivoting is being computed.
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`pivots` (optional): Shall be an `integer` array of size `n`. If provided, QR factorization with column-pivoting is being computed. It is an `intent(out)` argument.
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`overwrite_a` (optional): Shall be an input `logical` flag (default: `.false.`). If `.true.`, input matrix `a` will be used as temporary storage and overwritten. This avoids internal data allocation. It is an `intent(in)` argument.
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