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- module groebopt;
-
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- % optimization of the sequence of variables
- %
-
- % Optimization of variable sequence;the theoretical background can be found
- % in Boege/Gebauer/Kredel,J.Symb.Comp(1986)I,83-98
- % Techniques modfied to the following algorithm
- %
- % x > y if
- % x appears in a higher power than y
- % or
- % the highest powers are equal, but x appears more often with that power.
- %
- % An explicit dependency DEPENDS X,Y will supersede the optimality.
-
- symbolic procedure vdpvordopt(w,vars);
- % w : list of polynomials(standard forms),vars: list of variables;
- % returns(w . vars), both reorderdered
- begin scalar c;vars:=sort(vars,'ordop);
- c:=for each x in vars collect x . 0 . 0;
- for each poly in w do vdpvordopt1(poly,vars,c);
- c:=sort(c,function vdpvordopt2);
- intvdpvars!*:=for each v in c collect car v;
- vars:=vdpvordopt31 intvdpvars!*;
- if !*trgroeb then
- <<prin2 " optimized sequence of kernels : ";prin2t vars>>;
- return(for each poly in w collect reorder poly). vars end;
-
- symbolic procedure vdpvordopt1(p,vl,c);
- if null p then 0 else
- if domainp p or null vl then 1 else
- if mvar p neq car vl then vdpvordopt1(p,cdr vl,c)else
- begin scalar var,pow,slot;integer n;
- n:=vdpvordopt1(lc p,cdr vl,c);
- var:=mvar p;pow:=ldeg p;slot:=assoc(var,c);
- if pow #> cadr slot then
- <<rplaca(cdr slot,pow);rplacd(cdr slot,n)>>
- else rplacd(cdr slot,n #+ cddr slot);
- return n #+ vdpvordopt1(red p,vl,c)end;
-
- symbolic procedure vdpvordopt2(sl1,sl2);
- % Compare two slots from the power table .
- <<sl1:=cdr sl1;sl2:=cdr sl2;
- car sl1 #< car sl2 or car sl1 = car sl2 and cdr sl1 #< cdr sl2>>;
-
- symbolic procedure vdpvordopt31 u;
- % ' u ' : list of variables;
- % returns ' u ' reordered to respect dependency ordering .
- begin scalar v,y;if null u then return nil;
- v:=foreach x in u join
- <<y:=assoc(x,depl!*);if null y or null xnp(cdr y,u)then { x }>>;
- return nconc(vdpvordopt31 setdiff(u,v), v)end;
- endmodule;;end;
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