In just one Mathematica command, you can easily specify a calculation that is far too complicated for any computer to do. For example, you could ask for ...

BirnbaumSaundersDistribution[\[Alpha], \[Lambda]] represents the Birnbaum\[Dash]Saunders distribution with shape parameter \[Alpha] and scale parameter \[Lambda].

GraphicsGrid[{{g_11, g_12, ...}, ...}] generates a graphic in which the g_ij are laid out in a two-dimensional grid.

MardiaKurtosisTest[data] tests whether data follows a MultinormalDistribution using the Mardia kurtosis test.MardiaKurtosisTest[data, " property"] returns the value of " ...

Maximize[f, x] maximizes f with respect to x.Maximize[f, {x, y, ...}] maximizes f with respect to x, y, .... Maximize[{f, cons}, {x, y, ...}] maximizes f subject to the ...

Every new version of Mathematica contains many new features. But careful design from the outset has allowed nearly total compatibility to be maintained between all versions. ...

There are many variants of quasi-Newton methods. In all of them, the idea is to base the matrix B_k in the quadratic model on an approximation of the Hessian matrix built up ...

PieChart[{y_1, y_2, ...}] makes a pie chart with sector angle proportional to y_1, y_2, ....PieChart[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a pie chart with ...

It is often useful to be able to detect and precisely locate a change in a differential system. For example, with the detection of a singularity or state change, the ...

ContourPlot3D[f, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] produces a three-dimensional contour plot of f as a function of x, y, and z. ContourPlot3D[f == g, ...