NInverseFourierCoefficient (Fourier Series Package Symbol)

NInverseFourierCoefficient[expr, n, t] gives a numerical approximation to the function, evaluated at t, whose Fourier exponential series representation has coefficients given ...

GeneralMiniMaxApproximation (Function Approximations Package Symbol)

GeneralMiniMaxApproximation[{f_x, f_y}, {t, {t_0, t_1}, m, n}, x] finds the rational polynomial function of x, with numerator order m and denominator order n, that gives a ...

AdjacencyMatrix (Graph Utilities Package Symbol)

AdjacencyMatrix[g] gives the SparseArray object representing the graph g.AdjacencyMatrix[g, n] gives the SparseArray object representing the graph g, adding additional ...

CommunityStructurePartition (Graph Utilities Package Symbol)

CommunityStructurePartition[g] gives the partition of a graph g into communities.

LineScaledCoordinate (Graph Utilities Package Symbol)

LineScaledCoordinate[{{x_1, y_1}, {x_2, y_2}, ..., {x_k, y_k}}, r] gives the coordinate of a point in the polyline {{x_1, y_1}, {x_2, y_2}, ..., {x_k, y_k}}, at a scaled ...

NeighborhoodSubgraph (Graph Utilities Package Symbol)

NeighborhoodSubgraph[g, i, r] gives a subgraph consists of vertices that can be reached from vertex i within r hops.NeighborhoodSubgraph[g, i] gives a subgraph consists of ...

PageRanks (Graph Utilities Package Symbol)

PageRanks[g] give the page rank of the graph g as a rule list.

ToCombinatoricaGraph (Graph Utilities Package Symbol)

ToCombinatoricaGraph[g] return the Combinatorica representation of the graph g.ToCombinatoricaGraph[g, n] return the graph g, adding additional unconnected vertices, if ...

DirectAgglomerate (Hierarchical Clustering Package Symbol)

DirectAgglomerate[m] constructs a cluster hierarchy based on the distance or dissimilarity matrix m.DirectAgglomerate[m, list] associates the elements of list with the rows ...

MeanDifferenceCI (Hypothesis Testing Package Symbol)

MeanDifferenceCI[list_1, list_2] gives a confidence interval for the difference between the population means estimated from list_1 and list_2.