WordData (Built-in Mathematica Symbol)

WordData["word", " property"] gives the specified property for the English word " word".WordData["word"] gives a list of full word specifications representing possible uses ...

Numerical Nonlinear Local Optimization (Mathematica Tutorial)

Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...

WolframAlpha (Built-in Mathematica Symbol)

WolframAlpha["query"] sends query to Wolfram|Alpha and imports the output.WolframAlpha["query", format] imports the output according to the specified format.

Patterns and Transformation Rules (Mathematica Tutorial)

Patterns stand for classes of expressions. They contain pattern objects that represent sets of possible expressions. Pattern objects. When several pattern objects with the ...

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 ...

EulerEquations (Variational Methods Package Symbol)

EulerEquations[f, u[x ], x] returns the Euler\[Dash]Lagrange differential equation obeyed by u[x] derived from the functional f, where f depends on the function u[x] and its ...

Arrow (Built-in Mathematica Symbol)

Arrow[{pt_1, pt_2}] is a graphics primitive that represents an arrow from pt_1 to pt_2.Arrow[{pt_1, pt_2}, s] represents an arrow with its ends set back from pt_1 and pt_2 by ...

BeniniDistribution (Built-in Mathematica Symbol)

BeniniDistribution[\[Alpha], \[Beta], \[Sigma]] represents a Benini distribution with shape parameters \[Alpha] and \[Beta] and scale parameter \[Sigma].

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 ...

LogLinearPlot (Built-in Mathematica Symbol)

LogLinearPlot[f, {x, x_min, x_max}] generates a log-linear plot of f as a function of x from x_min to x_max. LogLinearPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates ...