Fix typos in comments and documentation (Reference-LAPACK PR 820)
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@ -107,7 +107,7 @@
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*> In particular, if B is an N-by-N nonsingular matrix, then the GSVD of
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*> A and B implicitly gives the SVD of A*inv(B):
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*> A*inv(B) = U*(D1*inv(D2))*V**H.
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*> If ( A**H,B**H)**H has orthnormal columns, then the GSVD of A and B is also
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*> If ( A**H,B**H)**H has orthonormal columns, then the GSVD of A and B is also
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*> equal to the CS decomposition of A and B. Furthermore, the GSVD can
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*> be used to derive the solution of the eigenvalue problem:
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*> A**H*A x = lambda* B**H*B x.
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@ -106,7 +106,7 @@
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*> In particular, if B is an N-by-N nonsingular matrix, then the GSVD of
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*> A and B implicitly gives the SVD of A*inv(B):
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*> A*inv(B) = U*(D1*inv(D2))*V**H.
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*> If ( A**H,B**H)**H has orthnormal columns, then the GSVD of A and B is also
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*> If ( A**H,B**H)**H has orthonormal columns, then the GSVD of A and B is also
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*> equal to the CS decomposition of A and B. Furthermore, the GSVD can
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*> be used to derive the solution of the eigenvalue problem:
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*> A**H*A x = lambda* B**H*B x.
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