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Diff for /OpenXM/src/asir-contrib/packages/doc/Attic/dsolv.oxweave between version 1.2 and 1.3

version 1.2, 2000/02/07 04:46:25 version 1.3, 2002/08/08 08:56:32
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 /* $OpenXM: OpenXM/src/asir-contrib/packages/doc/dsolv.oxweave,v 1.1 2000/02/06 06:39:48 takayama Exp $ */  /* $OpenXM: OpenXM/src/asir-contrib/packages/doc/dsolv.oxweave,v 1.2 2000/02/07 04:46:25 takayama Exp $ */
 /* dsolv.oxweave */  /* dsolv.oxweave */
 /*&eg-texi  /*&eg-texi
 @node DSOLV Functions,,, Top  @node DSOLV Functions,,, Top
Line 9  This section is a collection of functions to solve reg
Line 9  This section is a collection of functions to solve reg
 systems in terms of series.  systems in terms of series.
 Algorithms are explained in the book [SST].  Algorithms are explained in the book [SST].
 You can load this package by the command  You can load this package by the command
 @code{load("dsolv");}  @code{load("dsolv")$}
 This package requires @code{Diff} and @code{dmodule}.  This package requires @code{Diff} and @code{dmodule}.
   
   To use the functions of the package @code{dsolv} in OpenXM/Risa/Asir,
   executing the command @code{load("dsolv")$}
   is necessary at first.
   
   
 This package uses @code{ox_sm1}, so the variables you can use  This package uses @code{ox_sm1}, so the variables you can use
 is as same as those you can use in the package @code{sm1}.  is as same as those you can use in the package @code{sm1}.
   
Line 29  is as same as those you can use in the package @code{s
Line 34  is as same as those you can use in the package @code{s
 $B%"%k%4%j%:%`$K$D$$$F$O(B [SST] $B$K@bL@$,$"$k(B.  $B%"%k%4%j%:%`$K$D$$$F$O(B [SST] $B$K@bL@$,$"$k(B.
 $B$3$N%Q%C%1!<%8$O<!$N%3%^%s%I(B @code{load("dsolv");}  $B$3$N%Q%C%1!<%8$O<!$N%3%^%s%I(B @code{load("dsolv");}
 $B$G%m!<%I$G$-$k(B.  $B$G%m!<%I$G$-$k(B.
 $B$3$N%Q%C%1!<%8$O(B @code{Diff} $B$*$h$S(B @code{dmodule} $B$r;HMQ$9$k(B.  $B$3$N%Q%C%1!<%8$O(B @code{Diff} $B$*$h$S(B @code{Dmodule} $B$r;HMQ$9$k(B.
   
   OpenXM/Risa/Asir $B$G$NMxMQ$K$"$?$C$F$O(B,
   @example
   load("dsolv");$
   @end example
   $B$,;O$a$KI,MW(B.
   
 $B$3$N%Q%C%1!<%8$O(B @code{ox_sm1} $B$rMxMQ$7$F$$$k(B.  $B$3$N%Q%C%1!<%8$O(B @code{ox_sm1} $B$rMxMQ$7$F$$$k(B.
 $B$7$?$,$C$F;HMQ$G$-$kJQ?t$O(B @code{sm1} $B%Q%C%1!<%8$HF1MM$NJQ?t$7$+$D$+$($J$$(B.  $B$7$?$,$C$F;HMQ$G$-$kJQ?t$O(B @code{sm1} $B%Q%C%1!<%8$HF1MM$NJQ?t$7$+$D$+$($J$$(B.
   
Line 64  with variables @var{v}.
Line 75  with variables @var{v}.
 generated by @var{v}.  generated by @var{v}.
 If it is not primary to the maximal ideal, then this function falls into  If it is not primary to the maximal ideal, then this function falls into
 an infinite loop.  an infinite loop.
 @item This is an implementation of Algorithm 2.3.14 of the book [SST].  @end itemize
   
   
   @noindent
   Algorithm:
   This is an implementation of Algorithm 2.3.14 of the book [SST].
 If we replace variables x, y, ... in the output by log(x), log(y), ...,  If we replace variables x, y, ... in the output by log(x), log(y), ...,
 then these polynomials in log are solutions of the system of differential  then these polynomials in log are solutions of the system of differential
 equations @var{f}@code{_(x->x*dx, y->y*dy, ...)}.  equations @var{f}@code{_(x->x*dx, y->y*dy, ...)}.
 @end itemize  
 */  */
   
 /*&jp-texi  /*&jp-texi
Line 96  equations @var{f}@code{_(x->x*dx, y->y*dy, ...)}.
Line 112  equations @var{f}@code{_(x->x*dx, y->y*dy, ...)}.
 @item @var{f} $B$G@8@.$5$l$k%$%G%"%k$O(B, @var{v} $B$G@8@.$5$l$k6KBg%$%G%"%k$K(B  @item @var{f} $B$G@8@.$5$l$k%$%G%"%k$O(B, @var{v} $B$G@8@.$5$l$k6KBg%$%G%"%k$K(B
 $BBP$7$F(B, primary $B$G$J$$$H$$$1$J$$(B.  $BBP$7$F(B, primary $B$G$J$$$H$$$1$J$$(B.
 primary $B$G$J$$>l9g(B, $B$3$NH!?t$OL58B%k!<%W$K$*$A$$$k(B.  primary $B$G$J$$>l9g(B, $B$3$NH!?t$OL58B%k!<%W$K$*$A$$$k(B.
 @item $B$3$NH!?t$OK\(B [SST] $B$N(B Algorithm 2.3.14  $B$N<BAu$G$"$k(B.  @end itemize
   
   @noindent
   Algorithm:
   $B$3$NH!?t$OK\(B [SST] $B$N(B Algorithm 2.3.14  $B$N<BAu$G$"$k(B.
 $B=PNOCf$NJQ?t(B x, y, ... $B$r$=$l$>$l(B log(x), log(y), ..., $B$G$*$-$+$($k$H(B,  $B=PNOCf$NJQ?t(B x, y, ... $B$r$=$l$>$l(B log(x), log(y), ..., $B$G$*$-$+$($k$H(B,
 $B$3$l$i$N(B log $BB?9`<0$O(B,  $B$3$l$i$N(B log $BB?9`<0$O(B,
 @var{f}@code{_(x->x*dx, y->y*dy, ...)}  @var{f}@code{_(x->x*dx, y->y*dy, ...)}
 $B$G@8@.$5$l$kHyJ,J}Dx<07O(B  $B$G@8@.$5$l$kHyJ,J}Dx<07O(B
 $B$N2r$H$J$C$F$$$k(B.  $B$N2r$H$J$C$F$$$k(B.
 @end itemize  
 */  */
   
 /*&C-texi  /*&C-texi
Line 201  Staring terms $B$r7W;;$9$k(B. $B$3$3$G(B, @var{v} 
Line 220  Staring terms $B$r7W;;$9$k(B. $B$3$3$G(B, @var{v} 
 $B$3$NH!?t$O7W;;$NESCf$K$$$m$$$m$H%a%C%;!<%8$r=PNO$9$k(B.  $B$3$NH!?t$O7W;;$NESCf$K$$$m$$$m$H%a%C%;!<%8$r=PNO$9$k(B.
 @end itemize  @end itemize
   
   
 */  */
   
 /*&C-texi  /*&C-texi
   
   @noindent
   Algorithm: Saito, Sturmfels, Takayama, Grobner Deformations of Hypergeometric
   Differential Equations ([SST]), Chapter 2.
   
   
 @example  @example
 [1076]   F = sm1_gkz( [ [[1,1,1,1,1],[1,1,0,-1,0],[0,1,1,-1,0]], [1,0,0]]);  [1076]   F = sm1_gkz( [ [[1,1,1,1,1],[1,1,0,-1,0],[0,1,1,-1,0]], [1,0,0]]);

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