Spracherkennung für: .g vermutete Sprache: Unknown {[0] [0] [0]} [Methode: Schwerpunktbildung, einfache Gewichte, sechs Dimensionen]
##############################################################################
##
## smallestimage.g GRAPE Library Steve Linton
##
## Copyright (C) Steve Linton 2003
##
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, see
https://www.gnu.org/licenses/gpl.html
#
BindGlobal("SmallestImageSet",function(arg)
local best, h, k, n, paths, level, min, goodpaths,
orbnums, orbmins, gens, path, cands, remset, bestpt,
x, q, rep, num, pt, gen, img, besto, newpaths,
cases, case, newpath, g, set;
# Function by Steve Linton.
# Slightly modified by Leonard Soicher to have more parameter checking,
# and renamed from `SmallestImage' to `SmallestImageSet'.
#
# Let g:=arg[1] be a permutation group on [1..n], and let
# set:=arg[2] be a subset of [1..n].
#
# Then this function returns the lexicographically least set in
# the g-orbit of set, with respect to the action OnSets, without
# explicitly computing this (possibly huge) orbit.
#
# If the setwise stabilizer in g of set is known, then this
# group can be given as arg[3] to avoid the recomputation of
# this stabilizer.
#
# The algorithm is iterative. At level i it
# computes the lex-least i-set which can be an image
# of any subset of set, and all the essentially different ways
# in which this can happen. The lex-least image of set must arise
# by extending one of these
#
# in concrete terms, best is that i-set, h is the sequence
# stabilizer of best and paths is a list of records
#
# each record has components: mappedpts indicating which points in set
# are mapped tuple-wise onto best; remainder is set\mappedpts;
# perm is an element of g mapping mappedpts to best
# substab is a subgroup of the stabilizer of mappedpts (ptwise)
# and remainder (setwise)
# paths should contain entries with every possible sequence
# mappedpts, subject to the action of the setwise stabilizer Stab(g, set)
#
# Each iteration is done in two phases. In the first we examine
# each entry in paths to see what is the smallest point to which
# any entry of remainder^perm can be mapped by h, and which entries of
# remainder can be mapped there. We remember in goodpaths the ones that
# achieve the global smallest point, which we add to best
#
# In the second part, we take each entry on goodpaths and see what
# essentially different (under substab) ways there are to extend it
# we add those to newpaths.
if Length(arg) < 2 then
Error("SmallestImageSet: must have at least 2 parameters");
fi;
g := arg[1];
set := arg[2];
if not IsPermGroup(g) or not IsSet(set) then
Error("usage: SmallestImageSet( <PermGroup>, <Set> [, <PermGroup> ] )");
fi;
if not ForAll(set,IsPosInt) then
Error("<set> must be a set of positive integers");
fi;
if set = [] then
return [];
fi;
set := Set(set);
if IsTrivial(g) then
return set;
fi;
best := [];
h := g;
if Length(arg) >= 3 then
k := arg[3];
if k = false then
k := Group(());
elif not IsPermGroup(k) then
Error("<arg[3]> must be a permutation group");
elif not IsSubgroup(g,k) then
Error("<arg[3]> is not a subgroup of <g>");
elif not ForAll(GeneratorsOfGroup(k),x->OnSets(set,x)=set) then
Error("<arg[3]> is not contained in the <g>-stabilizer of <set>");
fi;
else
k := Stabilizer(g,set,OnSets);
fi;
n := Maximum(set[Length(set)],LargestMovedPoint(g));
paths := [rec(mappedpts := [],
remainder := set,
perm := (),
substab := k)];
for level in [1..Length(set)] do
if Size(h) = 1 then
Append(best, Minimum(List(paths, path -> OnSets(path.remainder, path.perm))));
return best;
fi;
min := infinity;
goodpaths := [];
orbnums := ListWithIdenticalEntries(n,-1);
orbmins := [];
gens := GeneratorsOfGroup(h);
for path in paths do
if Size(path.substab) = 1 then
cands := path.remainder;
else
cands := List(OrbitsDomain(path.substab, path.remainder), o->o[1]);
fi;
remset := OnTuples(cands,path.perm);
#
# We need to decide the smallest image of anything in remset
# under h. We build up a orbit numbers data structure
# lazily so that we only do the orbit calculations we need
# and only do them once.
#
bestpt := infinity;
for x in remset do
if orbnums[x] = -1 then
#
# Need a new orbit. Also require the smallest point
# as the rep.
#
q := [x];
rep := x;
num := Length(orbmins)+1;
orbnums[x] := num;
for pt in q do
for gen in gens do
img := pt^gen;
if orbnums[img] = -1 then
orbnums[img] := num;
Add(q,img);
if img < rep then
rep := img;
fi;
fi;
od;
od;
orbmins[num] := rep;
else
num := orbnums[x];
rep := orbmins[num];
fi;
#
# Does this help?
#
if rep < bestpt then
besto := num;
bestpt := rep;
fi;
od;
if bestpt < min then
#
# Improved the global bound, forget all previous candidates
#
goodpaths := [];
min := bestpt;
fi;
if bestpt = min then
#
# rmemeber this case
#
path.relevant := Filtered(path.remainder, x->
orbnums[x^path.perm] = besto);
Add(goodpaths, path);
fi;
od;
#
# Here goodpaths contains the options that need further exploration.
# min is the next point in the smallest image
#
Add(best,min);
if level = Length(set) then
return best;
fi;
newpaths := [];
for path in goodpaths do
#
# We can reduce the search by using some residual symmetry
#
if IsTrivial(path.substab) then
cases := path.relevant;
else
cases := List(Orbits(path.substab,path.relevant), o->o[1]);
fi;
for case in cases do
newpath := StructuralCopy(path);
Add(newpath.mappedpts,case);
#
# use Representative action this way round so that the
# non-changing point is first. Dramatically reduces the number
# of base changes
newpath.perm := newpath.perm / RepresentativeAction(h,min,case^path.perm);
RemoveSet(newpath.remainder,case);
newpath.substab := Stabilizer(newpath.substab,case);
Add(newpaths, newpath);
od;
od;
paths := newpaths;
h := Stabilizer(h,min);
od;
end);
