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5.1.147 std

std ( ideal_expression)
std ( module_expression)
std ( smatrix_expression)
std ( ideal_expression, intvec_expression )
std ( module_expression, intvec_expression )
std ( ideal_expression, intvec_expression, intvec_expression )
std ( module_expression, intvec_expression, intvec_expression )
std ( ideal_expression, poly_expression )
std ( module_expression, vector_expression )
std ( ideal_expression, ideal_expression )
std ( module_expression, module_expression )
std ( ideal_expression, poly_expression, intvec_expression, intvec_expression )
std ( module_expression, poly_expression, intvec_expression, intvec_expression )
ideal, module or smatrix
returns a standard basis of an ideal or module with respect to the monomial ordering of the basering. For Letterplace rings, a twosided Groebner basis is computed. A standard basis is a set of generators such that the leading terms generate the leading ideal, resp. module.
Use an optional second argument of type intvec as Hilbert series (result of hilb(i,1), see hilb), if the ideal, resp. module, is homogeneous (Hilbert driven standard basis computation, stdhilb). If the ideal is quasihomogeneous with some weights w and if the Hilbert series is computed w.r.t. to these weights, then use w as third argument.
Use an optional second argument of type poly/vector/ideal, resp. module, to construct the standard basis from an already computed one (given as the first argument) and additional generator(s) (the second argument).
4 arguments G,p,hv,w are the combination of the above: standard basis G, additional generator p, hilbert function hv w.r.t. weights w.

Groebner basis computations with inexact coefficients can not be trusted due to rounding errors.
The standard basis is computed with a (more or less) straight-forward implementation of the classical Buchberger (resp. Mora) algorithm. For global orderings, use the groebner command instead (see groebner), which heuristically chooses the "best" algorithm to compute a Groebner basis.
To view the progress of long running computations, use option(prot) (see option(prot)).

  // local computation
  ring r=32003,(x,y,z),ds;
  poly s1=1x2y+151xyz10+169y21;
  poly s2=1xz14+6x2y4+3z24;
  poly s3=5y10z10x+2y20z10+y10z20+11x3;
  ideal i=s1,s2,s3;
  ideal j=std(i);
==> // dimension (local)   = 0
==> // multiplicity = 1512
  // Hilbert driven elimination (standard)
  ring rhom=32003,(x,y,z,h),dp;
  ideal i=homog(imap(r,i),h);
  ideal j=std(i);
  intvec iv=hilb(j,1);
  ring rlex=32003,(x,y,z,h),lp;
  ideal i=fetch(rhom,i);
  ideal j=std(i,iv);
==> z64
  // Hilbert driven elimination (ideal is quasihomogeneous)
  intvec w=10,1,1;
  ring whom=32003,(x,y,z),wp(w);
  ideal i=fetch(r,i);
  ideal j=std(i);
  intvec iw=hilb(j,1,w);
  ring wlex=32003,(x,y,z),lp;
  ideal i=fetch(whom,i);
  ideal j=std(i,iw,w);
==> z64
See facstd; fglm; groebner; ideal; module; mstd; option; ring; smatrix; stdfglm; stdhilb.