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def identity(self): """ Returns the identity projection.
def identity(self): """ Returns the identity projection.
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def _call_element_(self, _the_element, *args, **kwds): """ Calling a callable symbolic expression returns a symbolic expression with the appropriate arguments substituted.
def _call_element_(self, _the_element, *args, **kwds): """ Calling a callable symbolic expression returns a symbolic expression with the appropriate arguments substituted.
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def contradicts(self, soln): """ Returns ``True`` if this assumption is violated by the given variable assignment(s).
def contradicts(self, soln): """ Returns ``True`` if this assumption is violated by the given variable assignment(s).
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def group_law(self, prec=10): r""" The formal group law.
def group_law(self, prec=10): r""" The formal group law.
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def group_law(self, prec=10): r""" The formal group law.
def group_law(self, prec=10): r""" The formal group law.
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def group_law(self, prec=10): r""" The formal group law.
def group_law(self, prec=10): r""" The formal group law.
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def group_law(self, prec=10): r""" The formal group law.
def group_law(self, prec=10): r""" The formal group law.
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def group_law(self, prec=10): r""" The formal group law.
def group_law(self, prec=10): r""" The formal group law.
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
defcoleman_integrals_on_basis(self,P,Q,algorithm=None):"""
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
defcoleman_integrals_on_basis(self,P,Q,algorithm=None):"""
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
defcoleman_integrals_on_basis(self,P,Q,algorithm=None):"""
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
defcoleman_integrals_on_basis(self,P,Q,algorithm=None):"""
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def coleman_integrals_on_basis(self, P, Q, algorithm=None): """
defcoleman_integrals_on_basis(self,P,Q,algorithm=None):"""
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def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
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def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
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def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
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def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
def coleman_integral(self, w, P, Q, algorithm = 'None'): """ INPUT: - w differential (if one of P,Q is Weierstrass, w must be odd) - P point on self - Q point on self - algorithm (optional) = None (uses Frobenius) or teichmuller (uses Teichmuller points)
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def log(x, base=None): """ Return the logarithm of x to the given base. Calls the ``log`` method of the object x when computing the logarithm, thus allowing use of logarithm on any object containing a ``log`` method. In other words, log works on more than just real numbers. EXAMPLES:: sage: log(e^2) 2 sage: log(1024...
def log(x, base=None): """ Return the logarithm of x to the given base. Calls the ``log`` method of the object x when computing the logarithm, thus allowing use of logarithm on any object containing a ``log`` method. In other words, log works on more than just real numbers. EXAMPLES:: sage: log(e^2) 2 sage: log(1024...
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def log(x, base=None): """ Return the logarithm of x to the given base. Calls the ``log`` method of the object x when computing the logarithm, thus allowing use of logarithm on any object containing a ``log`` method. In other words, log works on more than just real numbers. EXAMPLES:: sage: log(e^2) 2 sage: log(1024...
def log(x, base=None): """ Return the logarithm of x to the given base. Calls the ``log`` method of the object x when computing the logarithm, thus allowing use of logarithm on any object containing a ``log`` method. In other words, log works on more than just real numbers. EXAMPLES:: sage: log(e^2) 2 sage: log(1024...
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def Tableau(t): """ Returns the tableau object corresponding to t. Note that Sage uses the English convention for partitions and tableaux. EXAMPLES:: sage: t = Tableau([[1,2,3],[4,5]]); t [[1, 2, 3], [4, 5]] sage: t.shape() [3, 2] sage: t.is_standard() True """ if isinstance(t, Tableau_class): return t elif t in Tab...
def Tableau(t): """ Returns the tableau object corresponding to t. A tableau in sage is a finite list of lists, whose lengths are weakly decreasing, or an empty list, representing the empty tableau. The entries of a tableau can be any sage object. Note that Sage uses the English convention for partitions and tableau...
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def anti_restrict(self, n): """ Returns the skew tableau formed by removing all of the cells from self that are filled with a number less than
def anti_restrict(self, n): """ Returns the skew tableau formed by removing all of the cells from self that are filled with a number less than
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def up(self): """ An iterator for all the tableaux that can be obtained from self by adding a cell. EXAMPLES::
def up(self): """ An iterator for all the tableaux that can be obtained from self by adding a cell. EXAMPLES::
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def Tableaux(n=None): """ Returns the combinatorial class of tableaux. If n is specified, then it returns the combinatorial class of all tableaux of size n. EXAMPLES:: sage: T = Tableaux(); T Tableaux sage: [[1,2],[3,4]] in T True sage: [[1,2],[3]] in T True sage: [1,2,3] in T False :: sage: T = Tableaux(4); T Tabl...
def Tableaux(n=None): """ Returns the combinatorial class of tableaux. If n is specified, then it returns the combinatorial class of all tableaux of size n. A tableau in sage is a finite list of lists, whose lengths are weakly decreasing. The entries can be anything at all. EXAMPLES:: sage: T = Tableaux(); T Tablea...
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def Tableaux(n=None): """ Returns the combinatorial class of tableaux. If n is specified, then it returns the combinatorial class of all tableaux of size n. EXAMPLES:: sage: T = Tableaux(); T Tableaux sage: [[1,2],[3,4]] in T True sage: [[1,2],[3]] in T True sage: [1,2,3] in T False :: sage: T = Tableaux(4); T Tabl...
def Tableaux(n=None): """ Returns the combinatorial class of tableaux. If n is specified, then it returns the combinatorial class of all tableaux of size n. EXAMPLES:: sage: T = Tableaux(); T Tableaux sage: [[1,2],[3,4]] in T True sage: [[1,2],[3]] in T True :: sage: T = Tableaux(4); T Tableaux of size 4 sage: [[1,...
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def __repr__(self): """ TESTS::
def _repr_(self): """ TESTS::
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def __repr__(self): """ TESTS::
def _repr_(self): """ TESTS::
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def __repr__(self): """ TESTS::
def _repr_(self): """ TESTS::
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def __repr__(self): """ TESTS::
def _repr_(self): """ TESTS::
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def __repr__(self): """ TESTS::
def _repr_(self): """ TESTS::
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None, max_entry=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard ...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p. If p is specified and is an integer, it returns the class of semistandard tableaux of size p. If mu is also spe...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
def SemistandardTableaux(p=None, mu=None): """ Returns the combinatorial class of semistandard tableaux. If p is specified and is a partition, then it returns the class of semistandard tableaux of shape p (and max entry sum(p)) If p is specified and is an integer, it returns the class of semistandard tableaux of size...
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def __init__(self): """ TESTS::
def __init__(self, max_entry=None): """ TESTS::
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def __init__(self): """ TESTS::
def __init__(self): sage: SST = SemistandardTableaux(max_entry=5) sage: SST == loads(dumps(SST)) True """ self.max_entry = None if max_entry is not PlusInfinity(): self.max_entry = max_entry def _repr_(self): """ TESTS:: sage: SST = SemistandardTableaux() sage: SST Semistandard tableaux sage: SemistandardTableaux(...
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def __contains__(self, x): """ TESTS::
def __contains__(self, x): """ TESTS::
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def __contains__(self, x): """ TESTS::
def __contains__(self, x): """ TESTS::
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def __contains__(self, x): """ TESTS::
def __contains__(self, x): """ TESTS::
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def __contains__(self, x): """ TESTS::
def __contains__(self, x): """ TESTS::
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def __init__(self, n): """ TESTS::
def __init__(self, n, max_entry=None): """ TESTS::
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def __repr__(self): """ TESTS::
self.max_entry = None if max_entry is None: self.max_entry = n else: self.max_entry = max_entry def _repr_(self): """ TESTS::
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def __repr__(self): """ TESTS::
def __repr__(self): """ TESTS::
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def __contains__(self, x): """ EXAMPLES::
def __contains__(self, x): """ EXAMPLES::
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def cardinality(self): """ EXAMPLES::
def cardinality(self): """ EXAMPLES::
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def __iter__(self): """ EXAMPLES::
def __iter__(self): """ EXAMPLES::
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def __repr__(self): """ TESTS::
def _repr_(self): """ TESTS::
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def __contains__(self, x): """ EXAMPLES::
def __contains__(self, x): """ EXAMPLES::
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def __init__(self, p): """ TESTS::
def __init__(self, p, max_entry=None): """ TESTS::
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def __contains__(self, x): """ EXAMPLES::
def __contains__(self, x): """ EXAMPLES::
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def __repr__(self): """ TESTS::
def __repr__(self): """ TESTS::
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def cardinality(self): """ EXAMPLES::
def cardinality(self): """ EXAMPLES::
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def __iter__(self): """ An iterator for the semistandard partitions of shape p.
def __iter__(self): """ An iterator for the semistandard partitions of shape p.
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def __init__(self, n, mu): """ TESTS::
def __init__(self, n, mu): """ TESTS::
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def __contains__(self, x): """ TESTS::
def __contains__(self, x): """ TESTS::
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def _limit_latex_(*args): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f(x) = function('f',x) sage: _limit_latex_(f(x), x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' AUTHORS: - Golam Mortuza Hossain (20...
def _limit_latex_(self, f, x, a): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f(x) = function('f',x) sage: _limit_latex_(f(x), x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' AUTHORS: - Golam Mortuza Hos...
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def _limit_latex_(*args): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f(x) = function('f',x) sage: _limit_latex_(f(x), x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' AUTHORS: - Golam Mortuza Hossain (20...
def _limit_latex_(*args): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f = function('f',x) sage: _limit_latex_(0, f, x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' AUTHORS: - Golam Mortuza Hossain (2009-...
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def _limit_latex_(*args): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f(x) = function('f',x) sage: _limit_latex_(f(x), x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' AUTHORS: - Golam Mortuza Hossain (20...
def _limit_latex_(*args): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f(x) = function('f',x) sage: _limit_latex_(f(x), x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' AUTHORS: - Golam Mortuza Hossain (20...
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def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
def _integrate_latex_(self, f, x, *args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integr...
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def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f = function('f',x) sage: _integrate_latex_(0,f,x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f(x),...
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def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(0...
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def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
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def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
def _integrate_latex_(*args): r""" Return LaTeX expression for integration of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _integrate_latex_ sage: var('x,a,b') (x, a, b) sage: f(x) = function('f',x) sage: _integrate_latex_(f(x),x) '\\int f\\left(x\\right)\\,{d x}' sage: _integrate_latex_(f...
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def _laplace_latex_(*args): r""" Return LaTeX expression for Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _laplace_latex_ sage: var('s,t') (s, t) sage: f(t) = function('f',t) sage: _laplace_latex_(f(t),t,s) '\\mathcal{L}\\left(f\\left(t\\right), t, s\\right)' AUTHORS:...
def _laplace_latex_(self, *args): r""" Return LaTeX expression for Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _laplace_latex_ sage: var('s,t') (s, t) sage: f(t) = function('f',t) sage: _laplace_latex_(f(t),t,s) '\\mathcal{L}\\left(f\\left(t\\right), t, s\\right)' AU...
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def _laplace_latex_(*args): r""" Return LaTeX expression for Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _laplace_latex_ sage: var('s,t') (s, t) sage: f(t) = function('f',t) sage: _laplace_latex_(f(t),t,s) '\\mathcal{L}\\left(f\\left(t\\right), t, s\\right)' AUTHORS:...
def _laplace_latex_(*args): r""" Return LaTeX expression for Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _laplace_latex_ sage: var('s,t') (s, t) sage: f = function('f',t) sage: _laplace_latex_(0,f,t,s) '\\mathcal{L}\\left(f\\left(t\\right), t, s\\right)' AUTHORS: - ...
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def _inverse_laplace_latex_(*args): r""" Return LaTeX expression for inverse Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _inverse_laplace_latex_ sage: var('s,t') (s, t) sage: F(s) = function('F',s) sage: _inverse_laplace_latex_(F(s),s,t) '\\mathcal{L}^{-1}\\left(F\\le...
def _inverse_laplace_latex_(self, *args): r""" Return LaTeX expression for inverse Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _inverse_laplace_latex_ sage: var('s,t') (s, t) sage: F(s) = function('F',s) sage: _inverse_laplace_latex_(F(s),s,t) '\\mathcal{L}^{-1}\\left...
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def _inverse_laplace_latex_(*args): r""" Return LaTeX expression for inverse Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _inverse_laplace_latex_ sage: var('s,t') (s, t) sage: F(s) = function('F',s) sage: _inverse_laplace_latex_(F(s),s,t) '\\mathcal{L}^{-1}\\left(F\\le...
def _inverse_laplace_latex_(*args): r""" Return LaTeX expression for inverse Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _inverse_laplace_latex_ sage: var('s,t') (s, t) sage: F = function('F',s) sage: _inverse_laplace_latex_(0,F,s,t) '\\mathcal{L}^{-1}\\left(F\\left(s...
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def is_planar(self, on_embedding=None, kuratowski=False, set_embedding=False, set_pos=False): """ Returns True if the graph is planar, and False otherwise. This wraps the reference implementation provided by John Boyer of the linear time planarity algorithm by edge addition due to Boyer Myrvold. (See reference code in ...
def is_planar(self, on_embedding=None, kuratowski=False, set_embedding=False, set_pos=False): Multi-edged and looped graphs are partially supported:: sage: G = Graph({0:[1,1]}, multiedges=True) sage: G.is_planar() True sage: G.is_planar(on_embedding={}) Traceback (most recent call last): ... NotImplementedError: Cann...
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def vectors_by_length(self, bound): """ Returns a list of short vectors together with their values. This is a naive algorithm which uses the Cholesky decomposition, but does not use the LLL-reduction algorithm. INPUT: bound -- an integer >= 0 OUTPUT: A list L of length (bound + 1) whose entry L[i] is a list of all v...
def vectors_by_length(self, bound): """ Returns a list of short vectors together with their values. This is a naive algorithm which uses the Cholesky decomposition, but does not use the LLL-reduction algorithm. INPUT: bound -- an integer >= 0 OUTPUT: A list L of length (bound + 1) whose entry L[i] is a list of all v...
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def dimension(self): r""" Returns the dimension of this code.
def dimension(self): r""" Returns the dimension of this code.
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def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd.
def sd_duursma_data(C, i): r""" Returns the Duursma data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd.
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def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd.
def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd.
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def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd.
def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd.
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def sd_duursma_q(C,i,d0): r""" INPUT:
def sd_duursma_q(C,i,d0): r""" INPUT:
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def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
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def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
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def _compute_dim(self, compute_vertices): r""" Compute the dimension of this polytope and its vertices, if necessary.
def _compute_dim(self, compute_vertices): r""" Compute the dimension of this polytope and its vertices, if necessary.
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def _compute_dim(self, compute_vertices): r""" Compute the dimension of this polytope and its vertices, if necessary.
def _compute_dim(self, compute_vertices): r""" Compute the dimension of this polytope and its vertices, if necessary.
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def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
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def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
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def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
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def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
def facet_constant(self, i): r""" Return the constant in the ``i``-th facet inequality of this polytope.
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def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
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def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
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def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
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def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
def facet_normal(self, i): r""" Return the inner normal to the ``i``-th facet of this polytope.
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def __init__(self, deprecated=None, **renames): """ A decorator which renames keyword arguments and optionally deprecates the new keyword.
def __init__(self, deprecated=None, **renames): """ A decorator which renames keyword arguments and optionally deprecates the new keyword.
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def __init__(self, deprecated=None, **renames): """ A decorator which renames keyword arguments and optionally deprecates the new keyword.
def __init__(self, deprecated=None, **renames): """ A decorator which renames keyword arguments and optionally deprecates the new keyword.
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def __init__(self, deprecated=None, **renames): """ A decorator which renames keyword arguments and optionally deprecates the new keyword.
def__init__(self,deprecated=None,**renames):"""Adecoratorwhichrenameskeywordargumentsandoptionallydeprecatesthenewkeyword.
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def vectors_by_length(self, bound): """ Returns a list of short vectors together with their values. This is a naive algorithm which uses the Cholesky decomposition, but does not use the LLL-reduction algorithm. INPUT: bound -- an integer >= 0 OUTPUT: A list L of length (bound + 1) whose entry L[i] is a list of all v...
def vectors_by_length(self, bound): """ Returns a list of short vectors together with their values. This is a naive algorithm which uses the Cholesky decomposition, but does not use the LLL-reduction algorithm. INPUT: bound -- an integer >= 0 OUTPUT: A list L of length (bound + 1) whose entry L[i] is a list of all v...
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def vectors_by_length(self, bound): """ Returns a list of short vectors together with their values. This is a naive algorithm which uses the Cholesky decomposition, but does not use the LLL-reduction algorithm. INPUT: bound -- an integer >= 0 OUTPUT: A list L of length (bound + 1) whose entry L[i] is a list of all v...
def vectors_by_length(self, bound): """ Returns a list of short vectors together with their values. This is a naive algorithm which uses the Cholesky decomposition, but does not use the LLL-reduction algorithm. INPUT: bound -- an integer >= 0 OUTPUT: A list L of length (bound + 1) whose entry L[i] is a list of all v...
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