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Diff for /OpenXM/src/asir-doc/parts/builtin/array.texi between version 1.5 and 1.8

version 1.5, 2002/08/08 05:24:37 version 1.8, 2003/10/19 07:21:57
Line 1 
Line 1 
 @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 1.7 2003/04/20 08:01:28 noro Exp $
 \BJP  \BJP
 @node $BG[Ns(B,,, $BAH$_9~$_H!?t(B  @node $BG[Ns(B,,, $BAH$_9~$_H!?t(B
 @section $BG[Ns(B  @section $BG[Ns(B
Line 259  similar to that of @code{newvect}.
Line 259  similar to that of @code{newvect}.
 @findex newmat  @findex newmat
   
 @table @t  @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} $B9T(B @var{col} $BNs$N9TNs$r@8@.$9$k(B.  \JP :: @var{row} $B9T(B @var{col} $BNs$N9TNs$r@8@.$9$k(B.
 \EG :: Creates a new matrix with @var{row} rows and @var{col} columns.  \EG :: Creates a new matrix with @var{row} rows and @var{col} columns.
 @end table  @end table
Line 268  similar to that of @code{newvect}.
Line 268  similar to that of @code{newvect}.
 @item return  @item return
 \JP $B9TNs(B  \JP $B9TNs(B
 \EG matrix  \EG matrix
 @item row,col  @item row col
 \JP $B<+A3?t(B  \JP $B<+A3?t(B
 \EG non-negative integer  \EG non-negative integer
 @item a,b,c,d  @item a b c d
 \JP $BG$0U(B  \JP $BG$0U(B
 \EG arbitrary  \EG arbitrary
 @end table  @end table
Line 416  in a rational expression.
Line 416  in a rational expression.
 \JP :: @var{mat} $B$N9TNs<0$r5a$a$k(B.  \JP :: @var{mat} $B$N9TNs<0$r5a$a$k(B.
 \EG :: Determinant of @var{mat}.  \EG :: Determinant of @var{mat}.
 @item invmat(@var{mat})  @item invmat(@var{mat})
 \JP :: @var{mat} $B$N9TNs<0$r5a$a$k(B.  \JP :: @var{mat} $B$N5U9TNs$r5a$a$k(B.
 \EG :: Inverse matrix of @var{mat}.  \EG :: Inverse matrix of @var{mat}.
 @end table  @end table
   
Line 471  is more efficient than the fraction free Gaussian algo
Line 471  is more efficient than the fraction free Gaussian algo
 [ 1 u u^2 u^3 u^4 ]  [ 1 u u^2 u^3 u^4 ]
 [ 1 v v^2 v^3 v^4 ]  [ 1 v v^2 v^3 v^4 ]
 [95] fctr(det(A));  [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],  [[1,1],[u-v,1],[-z+v,1],[-z+u,1],[-y+u,1],[y-v,1],[-y+z,1],[-x+u,1],
 [-x+v,1],[-x+y,1]]  [-x+z,1],[-x+v,1],[-x+y,1]]
 [96] A = newmat(3,3)$  [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;  [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;  [98] A;
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  Added in v.1.8
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