The Normaliz backend for polyhedral computations¶
Note
This backend requires PyNormaliz.
To install PyNormaliz, type sage -i pynormaliz
in the terminal.
AUTHORS:
Matthias Köppe (2016-12): initial version
Jean-Philippe Labbé (2019-04): Expose normaliz features and added functionalities
- class sage.geometry.polyhedron.backend_normaliz.Polyhedron_QQ_normaliz(parent, Vrep, Hrep, normaliz_cone=None, normaliz_data=None, internal_base_ring=None, **kwds)[source]¶
Bases:
Polyhedron_normaliz
,Polyhedron_QQ
Polyhedra over \(\QQ\) with normaliz.
INPUT:
Vrep
– list[vertices, rays, lines]
orNone
Hrep
– list[ieqs, eqns]
orNone
EXAMPLES:
sage: p = Polyhedron(vertices=[(0,0), (1,0), (0,1)], ....: rays=[(1,1)], lines=[], ....: backend='normaliz', base_ring=QQ) sage: TestSuite(p).run()
>>> from sage.all import * >>> p = Polyhedron(vertices=[(Integer(0),Integer(0)), (Integer(1),Integer(0)), (Integer(0),Integer(1))], ... rays=[(Integer(1),Integer(1))], lines=[], ... backend='normaliz', base_ring=QQ) >>> TestSuite(p).run()
p = Polyhedron(vertices=[(0,0), (1,0), (0,1)], rays=[(1,1)], lines=[], backend='normaliz', base_ring=QQ) TestSuite(p).run()
- ehrhart_series(variable='t')[source]¶
Return the Ehrhart series of a compact rational polyhedron.
The Ehrhart series is the generating function where the coefficient of \(t^k\) is number of integer lattice points inside the \(k\)-th dilation of the polytope.
INPUT:
variable
– string (default:'t'
)
OUTPUT: a rational function
EXAMPLES:
sage: S = Polyhedron(vertices=[[0,1], [1,0]], backend='normaliz') sage: ES = S.ehrhart_series() sage: ES.numerator() 1 sage: ES.denominator().factor() (t - 1)^2 sage: C = Polyhedron(vertices=[[0,0,0], [0,0,1], [0,1,0], [0,1,1], ....: [1,0,0], [1,0,1], [1,1,0], [1,1,1]], ....: backend='normaliz') sage: ES = C.ehrhart_series() sage: ES.numerator() t^2 + 4*t + 1 sage: ES.denominator().factor() (t - 1)^4
>>> from sage.all import * >>> S = Polyhedron(vertices=[[Integer(0),Integer(1)], [Integer(1),Integer(0)]], backend='normaliz') >>> ES = S.ehrhart_series() >>> ES.numerator() 1 >>> ES.denominator().factor() (t - 1)^2 >>> C = Polyhedron(vertices=[[Integer(0),Integer(0),Integer(0)], [Integer(0),Integer(0),Integer(1)], [Integer(0),Integer(1),Integer(0)], [Integer(0),Integer(1),Integer(1)], ... [Integer(1),Integer(0),Integer(0)], [Integer(1),Integer(0),Integer(1)], [Integer(1),Integer(1),Integer(0)], [Integer(1),Integer(1),Integer(1)]], ... backend='normaliz') >>> ES = C.ehrhart_series() >>> ES.numerator() t^2 + 4*t + 1 >>> ES.denominator().factor() (t - 1)^4
S = Polyhedron(vertices=[[0,1], [1,0]], backend='normaliz') ES = S.ehrhart_series() ES.numerator() ES.denominator().factor() C = Polyhedron(vertices=[[0,0,0], [0,0,1], [0,1,0], [0,1,1], [1,0,0], [1,0,1], [1,1,0], [1,1,1]], backend='normaliz') ES = C.ehrhart_series() ES.numerator() ES.denominator().factor()
The following example is from the Normaliz manual contained in the file
rational.in
:sage: rat_poly = Polyhedron(vertices=[[1/2,1/2], [-1/3,-1/3], [1/4,-1/2]], ....: backend='normaliz') sage: ES = rat_poly.ehrhart_series() sage: ES.numerator() 2*t^6 + 3*t^5 + 4*t^4 + 3*t^3 + t^2 + t + 1 sage: ES.denominator().factor() (-1) * (t + 1)^2 * (t - 1)^3 * (t^2 + 1) * (t^2 + t + 1)
>>> from sage.all import * >>> rat_poly = Polyhedron(vertices=[[Integer(1)/Integer(2),Integer(1)/Integer(2)], [-Integer(1)/Integer(3),-Integer(1)/Integer(3)], [Integer(1)/Integer(4),-Integer(1)/Integer(2)]], ... backend='normaliz') >>> ES = rat_poly.ehrhart_series() >>> ES.numerator() 2*t^6 + 3*t^5 + 4*t^4 + 3*t^3 + t^2 + t + 1 >>> ES.denominator().factor() (-1) * (t + 1)^2 * (t - 1)^3 * (t^2 + 1) * (t^2 + t + 1)
rat_poly = Polyhedron(vertices=[[1/2,1/2], [-1/3,-1/3], [1/4,-1/2]], backend='normaliz') ES = rat_poly.ehrhart_series() ES.numerator() ES.denominator().factor()
The polyhedron should be compact:
sage: C = Polyhedron(rays=[[1,2], [2,1]], backend='normaliz') sage: C.ehrhart_series() Traceback (most recent call last): ... NotImplementedError: Ehrhart series can only be computed for compact polyhedron
>>> from sage.all import * >>> C = Polyhedron(rays=[[Integer(1),Integer(2)], [Integer(2),Integer(1)]], backend='normaliz') >>> C.ehrhart_series() Traceback (most recent call last): ... NotImplementedError: Ehrhart series can only be computed for compact polyhedron
C = Polyhedron(rays=[[1,2], [2,1]], backend='normaliz') C.ehrhart_series()
See also
hilbert_series()
- hilbert_series(grading, variable='t')[source]¶
Return the Hilbert series of the polyhedron with respect to
grading
.INPUT:
grading
– vector. The grading to use to form the Hilbert seriesvariable
– string (default:'t'
)
OUTPUT: a rational function
EXAMPLES:
sage: C = Polyhedron(backend='normaliz', ....: rays=[[0,0,1], [0,1,1], [1,0,1], [1,1,1]]) sage: HS = C.hilbert_series([1,1,1]) sage: HS.numerator() t^2 + 1 sage: HS.denominator().factor() (-1) * (t + 1) * (t - 1)^3 * (t^2 + t + 1)
>>> from sage.all import * >>> C = Polyhedron(backend='normaliz', ... rays=[[Integer(0),Integer(0),Integer(1)], [Integer(0),Integer(1),Integer(1)], [Integer(1),Integer(0),Integer(1)], [Integer(1),Integer(1),Integer(1)]]) >>> HS = C.hilbert_series([Integer(1),Integer(1),Integer(1)]) >>> HS.numerator() t^2 + 1 >>> HS.denominator().factor() (-1) * (t + 1) * (t - 1)^3 * (t^2 + t + 1)
C = Polyhedron(backend='normaliz', rays=[[0,0,1], [0,1,1], [1,0,1], [1,1,1]]) HS = C.hilbert_series([1,1,1]) HS.numerator() HS.denominator().factor()
By changing the grading, you can get the Ehrhart series of the square lifted at height 1:
sage: C.hilbert_series([0,0,1]) (t + 1)/(-t^3 + 3*t^2 - 3*t + 1)
>>> from sage.all import * >>> C.hilbert_series([Integer(0),Integer(0),Integer(1)]) (t + 1)/(-t^3 + 3*t^2 - 3*t + 1)
C.hilbert_series([0,0,1])
Here is an example
2cone.in
from the Normaliz manual:sage: C = Polyhedron(backend='normaliz', rays=[[1,3], [2,1]]) sage: HS = C.hilbert_series([1,1]) sage: HS.numerator() t^5 + t^4 + t^3 + t^2 + 1 sage: HS.denominator().factor() (t + 1) * (t - 1)^2 * (t^2 + 1) * (t^2 + t + 1) sage: HS = C.hilbert_series([1,2]) sage: HS.numerator() t^8 + t^6 + t^5 + t^3 + 1 sage: HS.denominator().factor() (t + 1) * (t - 1)^2 * (t^2 + 1) * (t^6 + t^5 + t^4 + t^3 + t^2 + t + 1)
>>> from sage.all import * >>> C = Polyhedron(backend='normaliz', rays=[[Integer(1),Integer(3)], [Integer(2),Integer(1)]]) >>> HS = C.hilbert_series([Integer(1),Integer(1)]) >>> HS.numerator() t^5 + t^4 + t^3 + t^2 + 1 >>> HS.denominator().factor() (t + 1) * (t - 1)^2 * (t^2 + 1) * (t^2 + t + 1) >>> HS = C.hilbert_series([Integer(1),Integer(2)]) >>> HS.numerator() t^8 + t^6 + t^5 + t^3 + 1 >>> HS.denominator().factor() (t + 1) * (t - 1)^2 * (t^2 + 1) * (t^6 + t^5 + t^4 + t^3 + t^2 + t + 1)
C = Polyhedron(backend='normaliz', rays=[[1,3], [2,1]]) HS = C.hilbert_series([1,1]) HS.numerator() HS.denominator().factor() HS = C.hilbert_series([1,2]) HS.numerator() HS.denominator().factor()
Here is the magic square example form the Normaliz manual:
sage: eq = [[0,1,1,1,-1,-1,-1, 0, 0, 0], ....: [0,1,1,1, 0, 0, 0,-1,-1,-1], ....: [0,0,1,1,-1, 0, 0,-1, 0, 0], ....: [0,1,0,1, 0,-1, 0, 0,-1, 0], ....: [0,1,1,0, 0, 0,-1, 0, 0,-1], ....: [0,0,1,1, 0,-1, 0, 0, 0,-1], ....: [0,1,1,0, 0,-1, 0,-1, 0, 0]] sage: magic_square = (Polyhedron(eqns=eq, backend='normaliz') ....: & Polyhedron(rays=identity_matrix(9).rows())) sage: grading = [1,1,1,0,0,0,0,0,0] sage: magic_square.hilbert_series(grading) (t^6 + 2*t^3 + 1)/(-t^9 + 3*t^6 - 3*t^3 + 1)
>>> from sage.all import * >>> eq = [[Integer(0),Integer(1),Integer(1),Integer(1),-Integer(1),-Integer(1),-Integer(1), Integer(0), Integer(0), Integer(0)], ... [Integer(0),Integer(1),Integer(1),Integer(1), Integer(0), Integer(0), Integer(0),-Integer(1),-Integer(1),-Integer(1)], ... [Integer(0),Integer(0),Integer(1),Integer(1),-Integer(1), Integer(0), Integer(0),-Integer(1), Integer(0), Integer(0)], ... [Integer(0),Integer(1),Integer(0),Integer(1), Integer(0),-Integer(1), Integer(0), Integer(0),-Integer(1), Integer(0)], ... [Integer(0),Integer(1),Integer(1),Integer(0), Integer(0), Integer(0),-Integer(1), Integer(0), Integer(0),-Integer(1)], ... [Integer(0),Integer(0),Integer(1),Integer(1), Integer(0),-Integer(1), Integer(0), Integer(0), Integer(0),-Integer(1)], ... [Integer(0),Integer(1),Integer(1),Integer(0), Integer(0),-Integer(1), Integer(0),-Integer(1), Integer(0), Integer(0)]] >>> magic_square = (Polyhedron(eqns=eq, backend='normaliz') ... & Polyhedron(rays=identity_matrix(Integer(9)).rows())) >>> grading = [Integer(1),Integer(1),Integer(1),Integer(0),Integer(0),Integer(0),Integer(0),Integer(0),Integer(0)] >>> magic_square.hilbert_series(grading) (t^6 + 2*t^3 + 1)/(-t^9 + 3*t^6 - 3*t^3 + 1)
eq = [[0,1,1,1,-1,-1,-1, 0, 0, 0], [0,1,1,1, 0, 0, 0,-1,-1,-1], [0,0,1,1,-1, 0, 0,-1, 0, 0], [0,1,0,1, 0,-1, 0, 0,-1, 0], [0,1,1,0, 0, 0,-1, 0, 0,-1], [0,0,1,1, 0,-1, 0, 0, 0,-1], [0,1,1,0, 0,-1, 0,-1, 0, 0]] magic_square = (Polyhedron(eqns=eq, backend='normaliz') & Polyhedron(rays=identity_matrix(9).rows())) grading = [1,1,1,0,0,0,0,0,0] magic_square.hilbert_series(grading)
See also
ehrhart_series()
- integral_points(threshold=10000)[source]¶
Return the integral points in the polyhedron.
Uses either the naive algorithm (iterate over a rectangular bounding box) or triangulation + Smith form.
INPUT:
threshold
– integer (default: 10000); use the naïve algorithm as long as the bounding box is smaller than this
OUTPUT:
The list of integral points in the polyhedron. If the polyhedron is not compact, a
ValueError
is raised.EXAMPLES:
sage: Polyhedron(vertices=[(-1,-1), (1,0), (1,1), (0,1)], ....: backend='normaliz').integral_points() ((-1, -1), (0, 0), (0, 1), (1, 0), (1, 1)) sage: simplex = Polyhedron([(1,2,3), (2,3,7), (-2,-3,-11)], ....: backend='normaliz') sage: simplex.integral_points() ((-2, -3, -11), (0, 0, -2), (1, 2, 3), (2, 3, 7))
>>> from sage.all import * >>> Polyhedron(vertices=[(-Integer(1),-Integer(1)), (Integer(1),Integer(0)), (Integer(1),Integer(1)), (Integer(0),Integer(1))], ... backend='normaliz').integral_points() ((-1, -1), (0, 0), (0, 1), (1, 0), (1, 1)) >>> simplex = Polyhedron([(Integer(1),Integer(2),Integer(3)), (Integer(2),Integer(3),Integer(7)), (-Integer(2),-Integer(3),-Integer(11))], ... backend='normaliz') >>> simplex.integral_points() ((-2, -3, -11), (0, 0, -2), (1, 2, 3), (2, 3, 7))
Polyhedron(vertices=[(-1,-1), (1,0), (1,1), (0,1)], backend='normaliz').integral_points() simplex = Polyhedron([(1,2,3), (2,3,7), (-2,-3,-11)], backend='normaliz') simplex.integral_points()
The polyhedron need not be full-dimensional:
sage: simplex = Polyhedron([(1,2,3,5), (2,3,7,5), (-2,-3,-11,5)], ....: backend='normaliz') sage: simplex.integral_points() ((-2, -3, -11, 5), (0, 0, -2, 5), (1, 2, 3, 5), (2, 3, 7, 5)) sage: point = Polyhedron([(2,3,7)], ....: backend='normaliz') sage: point.integral_points() ((2, 3, 7),) sage: empty = Polyhedron(backend='normaliz') sage: empty.integral_points() ()
>>> from sage.all import * >>> simplex = Polyhedron([(Integer(1),Integer(2),Integer(3),Integer(5)), (Integer(2),Integer(3),Integer(7),Integer(5)), (-Integer(2),-Integer(3),-Integer(11),Integer(5))], ... backend='normaliz') >>> simplex.integral_points() ((-2, -3, -11, 5), (0, 0, -2, 5), (1, 2, 3, 5), (2, 3, 7, 5)) >>> point = Polyhedron([(Integer(2),Integer(3),Integer(7))], ... backend='normaliz') >>> point.integral_points() ((2, 3, 7),) >>> empty = Polyhedron(backend='normaliz') >>> empty.integral_points() ()
simplex = Polyhedron([(1,2,3,5), (2,3,7,5), (-2,-3,-11,5)], backend='normaliz') simplex.integral_points() point = Polyhedron([(2,3,7)], backend='normaliz') point.integral_points() empty = Polyhedron(backend='normaliz') empty.integral_points()
Here is a simplex where the naive algorithm of running over all points in a rectangular bounding box no longer works fast enough:
sage: v = [(1,0,7,-1), (-2,-2,4,-3), (-1,-1,-1,4), (2,9,0,-5), (-2,-1,5,1)] sage: simplex = Polyhedron(v, backend='normaliz'); simplex A 4-dimensional polyhedron in ZZ^4 defined as the convex hull of 5 vertices sage: len(simplex.integral_points()) 49
>>> from sage.all import * >>> v = [(Integer(1),Integer(0),Integer(7),-Integer(1)), (-Integer(2),-Integer(2),Integer(4),-Integer(3)), (-Integer(1),-Integer(1),-Integer(1),Integer(4)), (Integer(2),Integer(9),Integer(0),-Integer(5)), (-Integer(2),-Integer(1),Integer(5),Integer(1))] >>> simplex = Polyhedron(v, backend='normaliz'); simplex A 4-dimensional polyhedron in ZZ^4 defined as the convex hull of 5 vertices >>> len(simplex.integral_points()) 49
v = [(1,0,7,-1), (-2,-2,4,-3), (-1,-1,-1,4), (2,9,0,-5), (-2,-1,5,1)] simplex = Polyhedron(v, backend='normaliz'); simplex len(simplex.integral_points())
A rather thin polytope for which the bounding box method would be a very bad idea (note this is a rational (non-lattice) polytope, so the other backends use the bounding box method):
sage: P = Polyhedron(vertices=((0, 0), (178933,37121))) + 1/1000*polytopes.hypercube(2) sage: P = Polyhedron(vertices=P.vertices_list(), ....: backend='normaliz') sage: len(P.integral_points()) 434
>>> from sage.all import * >>> P = Polyhedron(vertices=((Integer(0), Integer(0)), (Integer(178933),Integer(37121)))) + Integer(1)/Integer(1000)*polytopes.hypercube(Integer(2)) >>> P = Polyhedron(vertices=P.vertices_list(), ... backend='normaliz') >>> len(P.integral_points()) 434
P = Polyhedron(vertices=((0, 0), (178933,37121))) + 1/1000*polytopes.hypercube(2) P = Polyhedron(vertices=P.vertices_list(), backend='normaliz') len(P.integral_points())
Finally, the 3-d reflexive polytope number 4078:
sage: v = [(1,0,0), (0,1,0), (0,0,1), (0,0,-1), (0,-2,1), ....: (-1,2,-1), (-1,2,-2), (-1,1,-2), (-1,-1,2), (-1,-3,2)] sage: P = Polyhedron(v, backend='normaliz') sage: pts1 = P.integral_points() sage: all(P.contains(p) for p in pts1) True sage: pts2 = LatticePolytope(v).points() # needs palp sage: for p in pts1: p.set_immutable() sage: set(pts1) == set(pts2) # needs palp True sage: timeit('Polyhedron(v, backend='normaliz').integral_points()') # not tested - random 625 loops, best of 3: 1.41 ms per loop sage: timeit('LatticePolytope(v).points()') # not tested - random 25 loops, best of 3: 17.2 ms per loop
>>> from sage.all import * >>> v = [(Integer(1),Integer(0),Integer(0)), (Integer(0),Integer(1),Integer(0)), (Integer(0),Integer(0),Integer(1)), (Integer(0),Integer(0),-Integer(1)), (Integer(0),-Integer(2),Integer(1)), ... (-Integer(1),Integer(2),-Integer(1)), (-Integer(1),Integer(2),-Integer(2)), (-Integer(1),Integer(1),-Integer(2)), (-Integer(1),-Integer(1),Integer(2)), (-Integer(1),-Integer(3),Integer(2))] >>> P = Polyhedron(v, backend='normaliz') >>> pts1 = P.integral_points() >>> all(P.contains(p) for p in pts1) True >>> pts2 = LatticePolytope(v).points() # needs palp >>> for p in pts1: p.set_immutable() >>> set(pts1) == set(pts2) # needs palp True >>> timeit('Polyhedron(v, backend='normaliz').integral_points()') # not tested - random 625 loops, best of 3: 1.41 ms per loop >>> timeit('LatticePolytope(v).points()') # not tested - random 25 loops, best of 3: 17.2 ms per loop
v = [(1,0,0), (0,1,0), (0,0,1), (0,0,-1), (0,-2,1), (-1,2,-1), (-1,2,-2), (-1,1,-2), (-1,-1,2), (-1,-3,2)] P = Polyhedron(v, backend='normaliz') pts1 = P.integral_points() all(P.contains(p) for p in pts1) pts2 = LatticePolytope(v).points() # needs palp for p in pts1: p.set_immutable() set(pts1) == set(pts2) # needs palp timeit('Polyhedron(v, backend='normaliz').integral_points()') # not tested - random timeit('LatticePolytope(v).points()') # not tested - random
- integral_points_generators()[source]¶
Return the integral points generators of the polyhedron.
Every integral point in the polyhedron can be written as a (unique) nonnegative linear combination of integral points contained in the three defining parts of the polyhedron: the integral points (the compact part), the recession cone, and the lineality space.
OUTPUT:
A tuple consisting of the integral points, the Hilbert basis of the recession cone, and an integral basis for the lineality space.
EXAMPLES:
Normaliz gives a nonnegative integer basis of the lineality space:
sage: P = Polyhedron(backend='normaliz', lines=[[2,2]]) sage: P.integral_points_generators() (((0, 0),), (), ((1, 1),))
>>> from sage.all import * >>> P = Polyhedron(backend='normaliz', lines=[[Integer(2),Integer(2)]]) >>> P.integral_points_generators() (((0, 0),), (), ((1, 1),))
P = Polyhedron(backend='normaliz', lines=[[2,2]]) P.integral_points_generators()
A recession cone generated by two rays:
sage: C = Polyhedron(backend='normaliz', rays=[[1,2], [2,1]]) sage: C.integral_points_generators() (((0, 0),), ((1, 1), (1, 2), (2, 1)), ())
>>> from sage.all import * >>> C = Polyhedron(backend='normaliz', rays=[[Integer(1),Integer(2)], [Integer(2),Integer(1)]]) >>> C.integral_points_generators() (((0, 0),), ((1, 1), (1, 2), (2, 1)), ())
C = Polyhedron(backend='normaliz', rays=[[1,2], [2,1]]) C.integral_points_generators()
Empty polyhedron:
sage: P = Polyhedron(backend='normaliz') sage: P.integral_points_generators() ((), (), ())
>>> from sage.all import * >>> P = Polyhedron(backend='normaliz') >>> P.integral_points_generators() ((), (), ())
P = Polyhedron(backend='normaliz') P.integral_points_generators()
- class sage.geometry.polyhedron.backend_normaliz.Polyhedron_ZZ_normaliz(parent, Vrep, Hrep, normaliz_cone=None, normaliz_data=None, internal_base_ring=None, **kwds)[source]¶
Bases:
Polyhedron_QQ_normaliz
,Polyhedron_ZZ
Polyhedra over \(\ZZ\) with normaliz.
INPUT:
Vrep
– list[vertices, rays, lines]
orNone
Hrep
– list[ieqs, eqns]
orNone
EXAMPLES:
sage: p = Polyhedron(vertices=[(0,0), (1,0), (0,1)], ....: rays=[(1,1)], lines=[], ....: backend='normaliz', base_ring=ZZ) sage: TestSuite(p).run()
>>> from sage.all import * >>> p = Polyhedron(vertices=[(Integer(0),Integer(0)), (Integer(1),Integer(0)), (Integer(0),Integer(1))], ... rays=[(Integer(1),Integer(1))], lines=[], ... backend='normaliz', base_ring=ZZ) >>> TestSuite(p).run()
p = Polyhedron(vertices=[(0,0), (1,0), (0,1)], rays=[(1,1)], lines=[], backend='normaliz', base_ring=ZZ) TestSuite(p).run()
- class sage.geometry.polyhedron.backend_normaliz.Polyhedron_normaliz(parent, Vrep, Hrep, normaliz_cone=None, normaliz_data=None, internal_base_ring=None, **kwds)[source]¶
Bases:
Polyhedron_base_number_field
Polyhedra with normaliz.
INPUT:
parent
–Polyhedra
the parentVrep
– list[vertices, rays, lines]
orNone
; the V-representation of the polyhedron; ifNone
, the polyhedron is determined by the H-representationHrep
– list[ieqs, eqns]
orNone
; the H-representation of the polyhedron; ifNone
, the polyhedron is determined by the V-representationnormaliz_cone
– a PyNormaliz wrapper of a normaliz cone
Only one of
Vrep
,Hrep
, ornormaliz_cone
can be different fromNone
.EXAMPLES:
sage: p = Polyhedron(vertices=[(0,0), (1,0), (0,1)], ....: rays=[(1,1)], lines=[], ....: backend='normaliz') sage: TestSuite(p).run()
>>> from sage.all import * >>> p = Polyhedron(vertices=[(Integer(0),Integer(0)), (Integer(1),Integer(0)), (Integer(0),Integer(1))], ... rays=[(Integer(1),Integer(1))], lines=[], ... backend='normaliz') >>> TestSuite(p).run()
p = Polyhedron(vertices=[(0,0), (1,0), (0,1)], rays=[(1,1)], lines=[], backend='normaliz') TestSuite(p).run()
Two ways to get the full space:
sage: Polyhedron(eqns=[[0, 0, 0]], backend='normaliz') A 2-dimensional polyhedron in QQ^2 defined as the convex hull of 1 vertex and 2 lines sage: Polyhedron(ieqs=[[0, 0, 0]], backend='normaliz') A 2-dimensional polyhedron in QQ^2 defined as the convex hull of 1 vertex and 2 lines
>>> from sage.all import * >>> Polyhedron(eqns=[[Integer(0), Integer(0), Integer(0)]], backend='normaliz') A 2-dimensional polyhedron in QQ^2 defined as the convex hull of 1 vertex and 2 lines >>> Polyhedron(ieqs=[[Integer(0), Integer(0), Integer(0)]], backend='normaliz') A 2-dimensional polyhedron in QQ^2 defined as the convex hull of 1 vertex and 2 lines
Polyhedron(eqns=[[0, 0, 0]], backend='normaliz') Polyhedron(ieqs=[[0, 0, 0]], backend='normaliz')
A lower-dimensional affine cone; we test that there are no mysterious inequalities coming in from the homogenization:
sage: P = Polyhedron(vertices=[(1, 1)], rays=[(0, 1)], ....: backend='normaliz') sage: P.n_inequalities() 1 sage: P.equations() (An equation (1, 0) x - 1 == 0,)
>>> from sage.all import * >>> P = Polyhedron(vertices=[(Integer(1), Integer(1))], rays=[(Integer(0), Integer(1))], ... backend='normaliz') >>> P.n_inequalities() 1 >>> P.equations() (An equation (1, 0) x - 1 == 0,)
P = Polyhedron(vertices=[(1, 1)], rays=[(0, 1)], backend='normaliz') P.n_inequalities() P.equations()
The empty polyhedron:
sage: P = Polyhedron(ieqs=[[-2, 1, 1], [-3, -1, -1], [-4, 1, -2]], ....: backend='normaliz') sage: P The empty polyhedron in QQ^2 sage: P.Vrepresentation() () sage: P.Hrepresentation() (An equation -1 == 0,)
>>> from sage.all import * >>> P = Polyhedron(ieqs=[[-Integer(2), Integer(1), Integer(1)], [-Integer(3), -Integer(1), -Integer(1)], [-Integer(4), Integer(1), -Integer(2)]], ... backend='normaliz') >>> P The empty polyhedron in QQ^2 >>> P.Vrepresentation() () >>> P.Hrepresentation() (An equation -1 == 0,)
P = Polyhedron(ieqs=[[-2, 1, 1], [-3, -1, -1], [-4, 1, -2]], backend='normaliz') P P.Vrepresentation() P.Hrepresentation()
- integral_hull()[source]¶
Return the integral hull in the polyhedron.
This is a new polyhedron that is the convex hull of all integral points.
EXAMPLES:
Unbounded example from Normaliz manual, “a dull polyhedron”:
sage: P = Polyhedron(ieqs=[[1, 0, 2], [3, 0, -2], [3, 2, -2]], ....: backend='normaliz') sage: PI = P.integral_hull() sage: P.plot(color='yellow') + PI.plot(color='green') # needs sage.plot Graphics object consisting of 10 graphics primitives sage: PI.Vrepresentation() (A vertex at (-1, 0), A vertex at (0, 1), A ray in the direction (1, 0))
>>> from sage.all import * >>> P = Polyhedron(ieqs=[[Integer(1), Integer(0), Integer(2)], [Integer(3), Integer(0), -Integer(2)], [Integer(3), Integer(2), -Integer(2)]], ... backend='normaliz') >>> PI = P.integral_hull() >>> P.plot(color='yellow') + PI.plot(color='green') # needs sage.plot Graphics object consisting of 10 graphics primitives >>> PI.Vrepresentation() (A vertex at (-1, 0), A vertex at (0, 1), A ray in the direction (1, 0))
P = Polyhedron(ieqs=[[1, 0, 2], [3, 0, -2], [3, 2, -2]], backend='normaliz') PI = P.integral_hull() P.plot(color='yellow') + PI.plot(color='green') # needs sage.plot PI.Vrepresentation()
Nonpointed case:
sage: P = Polyhedron(vertices=[[1/2, 1/3]], rays=[[1, 1]], ....: lines=[[-1, 1]], backend='normaliz') sage: PI = P.integral_hull() sage: PI.Vrepresentation() (A vertex at (1, 0), A ray in the direction (1, 0), A line in the direction (1, -1))
>>> from sage.all import * >>> P = Polyhedron(vertices=[[Integer(1)/Integer(2), Integer(1)/Integer(3)]], rays=[[Integer(1), Integer(1)]], ... lines=[[-Integer(1), Integer(1)]], backend='normaliz') >>> PI = P.integral_hull() >>> PI.Vrepresentation() (A vertex at (1, 0), A ray in the direction (1, 0), A line in the direction (1, -1))
P = Polyhedron(vertices=[[1/2, 1/3]], rays=[[1, 1]], lines=[[-1, 1]], backend='normaliz') PI = P.integral_hull() PI.Vrepresentation()
Empty polyhedron:
sage: P = Polyhedron(backend='normaliz') sage: PI = P.integral_hull() sage: PI.Vrepresentation() ()
>>> from sage.all import * >>> P = Polyhedron(backend='normaliz') >>> PI = P.integral_hull() >>> PI.Vrepresentation() ()
P = Polyhedron(backend='normaliz') PI = P.integral_hull() PI.Vrepresentation()