# HG changeset patch
# User Colin Macdonald <address@hidden>
# Date 1427563368 0
#      Sat Mar 28 17:22:48 2015 +0000
# Branch list
# Node ID c4073b025b954429f78f1de7f5881640f5fa1231
# Parent  ff287375dcb479a6f6f36a9b1db5e2159c503412
svd: doc edits

diff -r ff287375dcb4 -r c4073b025b95 libinterp/corefcn/svd.cc
--- a/libinterp/corefcn/svd.cc	Mon Feb 09 23:45:16 2015 +0000
+++ b/libinterp/corefcn/svd.cc	Sat Mar 28 17:22:48 2015 +0000
@@ -45,22 +45,34 @@
 @deftypefnx {Built-in Function} address@hidden, @var{S}, @var{V}] =} svd (@var{A})\n\
 @deftypefnx {Built-in Function} address@hidden, @var{S}, @var{V}] =} svd (@var{A}, @var{econ})\n\
 @cindex singular value decomposition\n\
-Compute the singular value decomposition of @var{A}\n\
+Compute the singular value decomposition of @var{A},\n\
 @tex\n\
 $$\n\
- A = U S V^{\\dagger}\n\
+ A = U S V^{\\dagger}.\n\
 $$\n\
 @end tex\n\
 @ifnottex\n\
 \n\
address@hidden
-A = U*S*V'\n\
address@hidden example\n\
address@hidden
+     A = U*S*V'.\n\
address@hidden verbatim\n\
 \n\
 @end ifnottex\n\
 \n\
 The function @code{svd} normally returns only the vector of singular values.\n\
-When called with three return values, it computes\n\
+For example,\n\
address@hidden
address@hidden
+svd (hilb (3))\n\
address@hidden {} ans =\n\
+\n\
+  1.4083189\n\
+  0.1223271\n\
+  0.0026873\n\
address@hidden group\n\
address@hidden example\n\
+\n\
+When called with three return values, @code{svd} computes\n\
 @tex\n\
 $U$, $S$, and $V$.\n\
 @end tex\n\
@@ -68,37 +80,10 @@
 @var{U}, @var{S}, and @var{V}.\n\
 @end ifnottex\n\
 For example,\n\
-\n\
address@hidden
-svd (hilb (3))\n\
address@hidden example\n\
-\n\
address@hidden
-returns\n\
-\n\
 @example\n\
 @group\n\
-ans =\n\
-\n\
-  1.4083189\n\
-  0.1223271\n\
-  0.0026873\n\
address@hidden group\n\
address@hidden example\n\
-\n\
address@hidden
-and\n\
-\n\
address@hidden
 [u, s, v] = svd (hilb (3))\n\
address@hidden example\n\
-\n\
address@hidden
-returns\n\
-\n\
address@hidden
address@hidden
-u =\n\
address@hidden {} u =\n\
 \n\
   -0.82704   0.54745   0.12766\n\
   -0.45986  -0.52829  -0.71375\n\
@@ -106,9 +91,11 @@
 \n\
 s =\n\
 \n\
-  1.40832  0.00000  0.00000\n\
-  0.00000  0.12233  0.00000\n\
-  0.00000  0.00000  0.00269\n\
+Diagonal Matrix\n\
+\n\
+   1.4083189           0           0\n\
+           0   0.1223271           0\n\
+           0           0   0.0026873\n\
 \n\
 v =\n\
 \n\