===================================================================
RCS file: /home/cvs/OpenXM/src/asir-doc/parts/builtin/array.texi,v
retrieving revision 1.6
retrieving revision 1.7
diff -u -p -r1.6 -r1.7
--- OpenXM/src/asir-doc/parts/builtin/array.texi	2003/04/19 15:44:58	1.6
+++ 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 1.5 2002/08/08 05:24:37 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
@@ -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;