StarGraph (Built-in Mathematica Symbol)

StarGraph[n] gives the star graph with n vertices S_n.

WeightedAdjacencyGraph (Built-in Mathematica Symbol)

WeightedAdjacencyGraph[wmat] gives the graph with weighted adjacency matrix wmat.WeightedAdjacencyGraph[{v_1, v_2, ...}, wmat] gives the graph with vertices v_i and weighted ...

ArgMin (Built-in Mathematica Symbol)

ArgMin[f, x] gives a position x_min at which f is minimized.ArgMin[f, {x, y, ...}] gives a position {x_min, y_min, ...} at which f is minimized.ArgMin[{f, cons}, {x, y, ...}] ...

Histogram (Built-in Mathematica Symbol)

Histogram[{x_1, x_2, ...}] plots a histogram of the values x_i.Histogram[{x_1, x_2, ...}, bspec] plots a histogram with bin width specification bspec.Histogram[{x_1, x_2, ...

ListAnimate (Built-in Mathematica Symbol)

ListAnimate[{expr_1, expr_2, ...}] generates an animation whose frames are the successive expr_i. ListAnimate[list, fps] displays fps frames per second.

NoncentralStudentTDistribution (Built-in Mathematica Symbol)

NoncentralStudentTDistribution[\[Nu], \[Delta]] represents a noncentral Student t distribution with \[Nu] degrees of freedom and noncentrality parameter \[Delta].

Nonlinear PDEs (Mathematica Tutorial)

The general first-order nonlinear PDE for an unknown function u(x,y) is given by Here F is a function of uu(x,y), p ( ∂u(x,y) ) / ( ∂x ) , and q ( ∂u(x,y) ) / ( ∂y ) . The ...

Partitioning Data into Clusters (Mathematica Tutorial)

Cluster analysis is an unsupervised learning technique used for classification of data. Data elements are partitioned into groups called clusters that represent proximate ...

Statistical Plots Package (Statistical Plots Package Tutorial)

A wide variety of plots and charts are used to gain an overview of data from a statistical perspective. Some summarize statistical computations on the data, while others ...

Statistical Model Analysis (Mathematica Tutorial)

When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. For a number of ...