@@ -49,7 +49,6 @@ use ndarray::*;
4949
5050use super :: convert:: * ;
5151use super :: error:: * ;
52- use super :: lapack_traits:: opnorm:: NormType ;
5352use super :: layout:: * ;
5453use super :: opnorm:: OperationNorm ;
5554use super :: types:: * ;
@@ -428,8 +427,8 @@ pub trait ReciprocalConditionNum<A: Scalar> {
428427 /// 1-norm.
429428 ///
430429 /// This method uses the LAPACK `*gecon` routines, which *estimate*
431- /// `self.inv().opnorm(One )` and then compute `rcond = 1. /
432- /// (self.opnorm(One ) * self.inv().opnorm(One ))`.
430+ /// `self.inv().opnorm_one( )` and then compute `rcond = 1. /
431+ /// (self.opnorm_one( ) * self.inv().opnorm_one( ))`.
433432 ///
434433 /// * If `rcond` is near `0.`, the matrix is badly conditioned.
435434 /// * If `rcond` is near `1.`, the matrix is well conditioned.
@@ -442,8 +441,8 @@ pub trait ReciprocalConditionNumInto<A: Scalar> {
442441 /// 1-norm.
443442 ///
444443 /// This method uses the LAPACK `*gecon` routines, which *estimate*
445- /// `self.inv().opnorm(One )` and then compute `rcond = 1. /
446- /// (self.opnorm(One ) * self.inv().opnorm(One ))`.
444+ /// `self.inv().opnorm_one( )` and then compute `rcond = 1. /
445+ /// (self.opnorm_one( ) * self.inv().opnorm_one( ))`.
447446 ///
448447 /// * If `rcond` is near `0.`, the matrix is badly conditioned.
449448 /// * If `rcond` is near `1.`, the matrix is well conditioned.
@@ -460,7 +459,7 @@ where
460459 A :: rcond (
461460 self . a . layout ( ) ?,
462461 self . a . as_allocated ( ) ?,
463- self . a . opnorm ( NormType :: One ) ?,
462+ self . a . opnorm_one ( ) ?,
464463 )
465464 }
466465 }
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