The functional and list-oriented characteristics of the core Mathematica language allow CUDALink to provide immediate built-in data parallelism, automatically distributing ...
This section is designed to discuss how to make compiled functions run efficiently. It will cover features that make them run faster, as well as problems that can make them ...
PolyhedronData[poly, " property"] gives the value of the specified property for the polyhedron named poly.PolyhedronData[poly] gives an image of the polyhedron named ...
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 ...
SectorChart[{{x_1, y_1}, {x_1, y_2}, ...}] makes a sector chart with sector angles proportional to x_i and radii y_i.SectorChart[{..., w_i[{x_i, y_i}, ...], ..., w_j[{x_j, ...
Annuity
(Built-in Mathematica Symbol) Annuity[p, t] represents an annuity of fixed payments p made over t periods.Annuity[p, t, q] represents a series of payments occurring at time intervals q.Annuity[{p, ...
DensityPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] makes a density plot of f as a function of x and y.
Integrate[f, x] gives the indefinite integral \[Integral]f d x. Integrate[f, {x, x_min, x_max}] gives the definite integral \[Integral]_x_min^x_max\ f\ d x. Integrate[f, {x, ...
MarginalDistribution[dist, k] represents a univariate marginal distribution of the k\[Null]^th coordinate from the multivariate distribution dist.MarginalDistribution[dist, ...
NSolve
(Built-in Mathematica Symbol) NSolve[expr, vars] attempts to find numerical approximations to the solutions of the system expr of equations or inequalities for the variables vars. NSolve[expr, vars, ...