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 ...
EdgeCoverQ[g, elist] yields True if the edge list elist is an edge cover of the graph g and False otherwise.
IndependentEdgeSetQ[g, elist] yields True if the edge list elist is an independent edge set of the graph g, and False otherwise.
InterpolatingFunction[domain, table] represents an approximate function whose values are found by interpolation.
Max
(Built-in Mathematica Symbol) Max[x_1, x_2, ...] yields the numerically largest of the x_i. Max[{x_1, x_2, ...}, {y_1, ...}, ...] yields the largest element of any of the lists.
Min
(Built-in Mathematica Symbol) Min[x_1, x_2, ...] yields the numerically smallest of the x_i. Min[{x_1, x_2, ...}, {y_1, ...}, ...] yields the smallest element of any of the lists.
NominalVariables is an option for fitting functions such as LinearModelFit that specifies which variables should be treated as having discrete values specified by names.
OrderDistribution[{dist, n}, k] represents the k\[Null]^th-order statistics distribution for n observations from the distribution dist.OrderDistribution[{dist, n}, {k_1, k_2, ...
QPochhammer[a, q, n] gives the q-Pochhammer symbol (a; q) n.QPochhammer[a, q] gives the q-Pochhammer symbol (a; q) \[Infinity].QPochhammer[q] gives the q-Pochhammer symbol ...
StirlingS2[n, m] gives the Stirling number of the second kind \[ScriptCapitalS]_n^(m).