LaguerreL[n, x] gives the Laguerre polynomial L_n (x). LaguerreL[n, a, x] gives the generalized Laguerre polynomial L_n^a(x).

MaxExtraConditions is an option to Solve and related functions that specifies how many extra equational conditions on continuous parameters to allow in solutions that are ...

Method is an option for various algorithm-intensive functions that specifies what internal methods they should use.

SeriesData[x, x_0, {a_0, a_1, ...}, n_min, n_max, den] represents a power series in the variable x about the point x_0. The a_i are the coefficients in the power series. The ...

Threshold[data] thresholds data by replacing values close to zero by zero.Threshold[data, tspec] thresholds data using threshold specification tspec.Threshold[image, ...] ...

Together[expr] puts terms in a sum over a common denominator, and cancels factors in the result.

VarianceEquivalenceTest[{data_1, data_2, ...}] tests whether the variances of the data_i are equal. VarianceEquivalenceTest[{data_1, ...}, " property"] returns the value of " ...

VonMisesDistribution[\[Mu], \[Kappa]] represents a von Mises distribution with mean \[Mu] and concentration \[Kappa].

WeightedAdjacencyMatrix[g] gives the adjacency matrix of edge weights of the graph g.

Now that we have introduced the basic features of patterns in Mathematica, we can use them to give a more or less complete example. We will show how you could define your own ...