@@ -899,15 +899,15 @@ Exceptions trigger an `error stop`.
899899{!example/linalg/example_determinant2.f90!}
900900```
901901
902- ## ` svd ` - Compute the singular value decomposition of a 2d matrix.
902+ ## ` svd ` - Compute the singular value decomposition of a rank-2 array ( matrix) .
903903
904904### Status
905905
906906Experimental
907907
908908### Description
909909
910- This subroutine computes the singular value decomposition of a ` real ` or ` complex ` 2d matrix \( A = U \cdot S \cdot \V^T \) .
910+ This subroutine computes the singular value decomposition of a ` real ` or ` complex ` rank-2 array ( matrix) \( A = U \cdot S \cdot \V^T \) .
911911The solver is based on LAPACK's ` *GESDD ` backends.
912912
913913Result vector ` s ` returns the array of singular values on the diagonal of \( S \) .
@@ -953,15 +953,15 @@ Exceptions trigger an `error stop`, unless argument `err` is present.
953953{!example/linalg/example_svd.f90!}
954954```
955955
956- ## ` svdvals ` - Compute the singular values of a 2d matrix.
956+ ## ` svdvals ` - Compute the singular values of a rank-2 array ( matrix) .
957957
958958### Status
959959
960960Experimental
961961
962962### Description
963963
964- This subroutine computes the singular values of a ` real ` or ` complex ` 2d matrix from its singular
964+ This subroutine computes the singular values of a ` real ` or ` complex ` rank-2 array ( matrix) from its singular
965965value decomposition \( A = U \cdot S \cdot \V^T \) . The solver is based on LAPACK's ` *GESDD ` backends.
966966
967967Result vector ` s ` returns the array of singular values on the diagonal of \( S \) .
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