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Description: Fix spelling errors.
tranformations -> transformationss
Dosen't -> Doesn't
Contruct -> Construct
whith -> with
furure -> future
Author: Bas Couwenberg <sebastic@debian.org>
Forwarded: https://sourceforge.net/p/pdl/patches/82/
--- a/GENERATED/PDL/LinearAlgebra/Real.pm
+++ b/GENERATED/PDL/LinearAlgebra/Real.pm
@@ -2154,7 +2154,7 @@ manner.
eigenvalues are computed to high relative accuracy when
possible in future releases. The current code does not
make any guarantees about high relative accuracy, but
- furure releases will. See J. Barlow and J. Demmel,
+ future releases will. See J. Barlow and J. Demmel,
"Computing Accurate Eigensystems of Scaled Diagonally
Dominant Matrices", LAPACK Working Note #7, for a discussion
of which matrices define their eigenvalues to high relative
@@ -3842,7 +3842,7 @@ Solve the BLS using a divide and conquer
=item 3
-Apply back all the Householder tranformations to solve
+Apply back all the Householder transformationss to solve
the original least squares problem.
=back
@@ -8375,7 +8375,7 @@ It will set the bad-value flag of all ou
Performs a series of row interchanges on the matrix A.
One row interchange is initiated for each of rows k1 through k2 of A.
-Dosen't use PDL indice (start = 1).
+Doesn't use PDL indice (start = 1).
Arguments
=========
@@ -8725,4 +8725,4 @@ in this distribution.
1;
-
\ No newline at end of file
+
--- a/Real/real.pd
+++ b/Real/real.pd
@@ -3649,7 +3649,7 @@ manner.
eigenvalues are computed to high relative accuracy when
possible in future releases. The current code does not
make any guarantees about high relative accuracy, but
- furure releases will. See J. Barlow and J. Demmel,
+ future releases will. See J. Barlow and J. Demmel,
"Computing Accurate Eigensystems of Scaled Diagonally
Dominant Matrices", LAPACK Working Note #7, for a discussion
of which matrices define their eigenvalues to high relative
@@ -6011,7 +6011,7 @@ Solve the BLS using a divide and conquer
=item 3
-Apply back all the Householder tranformations to solve
+Apply back all the Householder transformationss to solve
the original least squares problem.
=back
@@ -11892,7 +11892,7 @@ pp_def("laswp",
Performs a series of row interchanges on the matrix A.
One row interchange is initiated for each of rows k1 through k2 of A.
-Dosen\'t use PDL indice (start = 1).
+Doesn\'t use PDL indice (start = 1).
Arguments
=========
--- a/Special/Special.pm
+++ b/Special/Special.pm
@@ -41,7 +41,7 @@ This module provides some constructors o
=for ref
-Contruct Hilbert matrix from specifications list or template piddle
+Construct Hilbert matrix from specifications list or template piddle
=for usage
@@ -177,7 +177,7 @@ For complex, needs object of type PDL::C
mhankel(c,r), where c and r are vectors, returns matrix whose first column
is c and whose last row is r. The last element of c prevails.
- mhankel(c) returns matrix whith element below skew diagonal (anti-diagonal) equals
+ mhankel(c) returns matrix with element below skew diagonal (anti-diagonal) equals
to zero. If c is a scalar number, make it from sequence beginning at one.
=for ref
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