BernoulliGraphDistribution[n, p] represents a Bernoulli graph distribution for n-vertex graphs with edge probability p.
BooleanConvert[expr] converts the Boolean expression expr to disjunctive normal form.BooleanConvert[expr, form] converts the Boolean expression expr to the specified ...
BooleanMinimize[expr] finds a minimal-length disjunctive normal form representation of expr.BooleanMinimize[expr, form] finds a minimal-length representation for expr in the ...
CentralMomentGeneratingFunction[dist, t] gives the central moment generating function for the symbolic distribution dist as a function of the variable t. ...
ConditionalExpression[expr, cond] is a symbolic construct that represents the expression expr when the condition cond is True.
Cone
(Built-in Mathematica Symbol) Cone[{{x_1, y_1, z_1}, {x_2, y_2, z_2}}, r] represents a cone with a base of radius r centered at (x_1, y_1, z_1) and a tip at (x_2, y_2, z_2). Cone[{{x_1, y_1, z_1}, {x_2, ...
CumulantGeneratingFunction[dist, t] gives the cumulant generating function for the symbolic distribution dist as a function of the variable t. ...
DictionaryLookup[patt] finds all words in an English dictionary that match the string pattern patt.DictionaryLookup[patt, n] gives only the first n words ...
DiscreteConvolve[f, g, n, m] gives the convolution with respect to n of the expressions f and g. DiscreteConvolve[f, g, {n_1, n_2, ...}, {m_1, m_2, ...}] gives the ...
DiscreteLyapunovSolve[a, c] finds the numeric solution x of the discrete matrix equation a.x.a\[ConjugateTranspose] - x == c.DiscreteLyapunovSolve[a, b, c] solves a.x.b - x ...