PieChart (Built-in Mathematica Symbol)

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 ...

Numerical Solution of Partial ... (Mathematica Tutorial)

The numerical method of lines is a technique for solving partial differential equations by discretizing in all but one dimension, and then integrating the semi-discrete ...

ExponentialDistribution (Built-in Mathematica Symbol)

ExponentialDistribution[\[Lambda]] represents an exponential distribution with scale inversely proportional to parameter \[Lambda].

HistogramDistribution (Built-in Mathematica Symbol)

HistogramDistribution[{x_1, x_2, ...}] represents the probability distribution corresponding to a histogram of the data values x_i.HistogramDistribution[{{x_1, y_1, ...}, ...

NIntegrate Integration Strategies (Mathematica Tutorial)

An integration strategy is an algorithm that attempts to compute integral estimates that satisfy user-specified precision or accuracy goals. An integration strategy normally ...

BeckmannDistribution (Built-in Mathematica Symbol)

BeckmannDistribution[\[Mu]_1, \[Mu]_2, \[Sigma]_1, \[Sigma]_2] represents the Beckmann distribution with means \[Mu]_1 and \[Mu]_2 and standard deviations \[Sigma]_1 and ...

BirnbaumSaundersDistribution (Built-in Mathematica Symbol)

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

CityData (Built-in Mathematica Symbol)

CityData["name", " property"] gives the value of the specified property for the city with the specified name.CityData["name"] gives a list of the full specifications of ...

DiscreteRiccatiSolve (Built-in Mathematica Symbol)

DiscreteRiccatiSolve[{a, b}, {q, r}] gives the matrix x that is the stabilizing solution of the discrete algebraic Riccati equation ConjugateTranspose[a].x.a - x - ...

EstimatorGains (Built-in Mathematica Symbol)

EstimatorGains[ss, {p_1, p_2, ..., p_n}] gives the estimator gain matrix for the StateSpaceModel object ss, such that the poles of the estimator are p_i.