InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda].InverseGaussianDistribution[\[Mu], ...
RayleighDistribution[\[Sigma]] represents the Rayleigh distribution with scale parameter \[Sigma].
TimeConstraint is an option for various algorithmic functions which specifies how long to spend trying a particular transformation or part of an algorithm.
ControlActive[act, norm] evaluates to act if a control that affects act is actively being used, and to norm otherwise.
Mathematica has been used to make many important discoveries in discrete mathematics over the past two decades. Its integration of highly efficient and often original ...
And
(Built-in Mathematica Symbol) e_1 && e_2 && ... is the logical AND function. It evaluates its arguments in order, giving False immediately if any of them are False, and True if they are all True.
BooleanMaxterms[k, n] represents the k\[Null]^th maxterm in n variables.BooleanMaxterms[{k_1, k_2, ...}, n] represents the conjunction of the maxterms ...
BooleanMinterms[k, n] represents the k\[Null]\[Null]^th minterm in n variables.BooleanMinterms[{k_1, k_2, ...}, n] represents the disjunction of the minterms ...
CountRoots[poly, x] gives the number of real roots of the polynomial poly in x.CountRoots[poly, {x, a, b}] gives the number of roots between a and b.
Or
(Built-in Mathematica Symbol) e_1 || e_2 || ... is the logical OR function. It evaluates its arguments in order, giving True immediately if any of them are True, and False if they are all False.