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Copy file name to clipboardExpand all lines: doc/specs/stdlib_linalg.md
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@@ -622,9 +622,9 @@ Result vector `x` returns the approximate solution that minimizes the 2-norm \(
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`b`: Shall be a rank-1 array containing the right-hand-side vector. It is an `intent(in)` argument.
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`cond` (optional): Singular value cut-off threshold for rank evaluation: `s_i >= cond*maxval(s), i=1:rank`. Shall be a scalar, `intent(in)` argument.
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`cond` (optional): Shall be a scalar `real` value cut-off threshold for rank evaluation: `s_i >= cond*maxval(s), i=1:rank`. Shall be a scalar, `intent(in)` argument.
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`overwrite_a` (optional): Shall be an input logical flag. if`.true.`, input matrix a will be used as temporary storage and overwritten. This avoids internal data allocation. This is an `intent(in)` argument.
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`overwrite_a` (optional): Shall be an input `logical` flag. If`.true.`, input matrix `A` will be used as temporary storage and overwritten. This avoids internal data allocation. This is an `intent(in)` argument.
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`rank` (optional): Shall be an `integer` scalar value, that contains the rank of input matrix `A`. This is an `intent(out)` argument.
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@@ -634,8 +634,8 @@ Result vector `x` returns the approximate solution that minimizes the 2-norm \(
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Returns an array value that represents the solution to the least squares system.
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Raises `LINALG_ERROR` if the underlying SVD process did not converge.
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Raises `LINALG_VALUE_ERROR` if the matrix and rhs vectors have invalid/incompatible sizes.
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Raises `LINALG_ERROR` if the underlying Singular Value Decomposition process did not converge.
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Raises `LINALG_VALUE_ERROR` if the matrix and right-hand-side vector have invalid/incompatible sizes.
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