===================================================================
RCS file: /home/cvs/OpenXM/src/asir-doc/parts/builtin/array.texi,v
retrieving revision 1.5
retrieving revision 1.7
diff -u -p -r1.5 -r1.7
--- OpenXM/src/asir-doc/parts/builtin/array.texi	2002/08/08 05:24:37	1.5
+++ OpenXM/src/asir-doc/parts/builtin/array.texi	2003/04/20 08:01:28	1.7
@@ -1,4 +1,4 @@
-@comment $OpenXM: OpenXM/src/asir-doc/parts/builtin/array.texi,v 1.4 2000/11/13 00:16:36 noro Exp $
+@comment $OpenXM: OpenXM/src/asir-doc/parts/builtin/array.texi,v 1.6 2003/04/19 15:44:58 noro Exp $
 \BJP
 @node 配列,,, 組み込み函数
 @section 配列
@@ -259,7 +259,7 @@ similar to that of @code{newvect}.
 @findex newmat
 
 @table @t
-@item newmat(@var{row},@var{col} [,@var{[[a,b,}...@var{],[c,d,}...@var{],}...@var{]}])
+@item newmat(@var{row},@var{col} [,[[@var{a},@var{b},...],[@var{c},@var{d},...],...]])
 \JP :: @var{row} 行 @var{col} 列の行列を生成する. 
 \EG :: Creates a new matrix with @var{row} rows and @var{col} columns.
 @end table
@@ -268,10 +268,10 @@ similar to that of @code{newvect}.
 @item return
 \JP 行列
 \EG matrix
-@item row,col
+@item row col
 \JP 自然数
 \EG non-negative integer
-@item a,b,c,d
+@item a b c d
 \JP 任意
 \EG arbitrary
 @end table
@@ -471,8 +471,8 @@ is more efficient than the fraction free Gaussian algo
 [ 1 u u^2 u^3 u^4 ]
 [ 1 v v^2 v^3 v^4 ]
 [95] fctr(det(A));
-[[1,1],[u-v,1],[-z+v,1],[-z+u,1],[-y+u,1],[y-v,1],[-y+z,1],[-x+u,1],[-x+z,1],
-[-x+v,1],[-x+y,1]]
+[[1,1],[u-v,1],[-z+v,1],[-z+u,1],[-y+u,1],[y-v,1],[-y+z,1],[-x+u,1],
+[-x+z,1],[-x+v,1],[-x+y,1]]
 [96] A = newmat(3,3)$
 [97] for(I=0;I<3;I++)for(J=0,B=A[I],W=V[I];J<3;J++)B[J]=W^J;
 [98] A;