EllipticThetaPrime (Built-in Mathematica Symbol)

EllipticThetaPrime[a, u, q] gives the derivative with respect to u of the theta function \[CurlyTheta]_a (u, q) (a = 1, ..., 4).

SmoothKernelDistribution (Built-in Mathematica Symbol)

SmoothKernelDistribution[{x_1, x_2, ...}] represents a smooth kernel distribution based on the data values x_i.SmoothKernelDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...

Use Derivatives for Setting Up ... (Mathematica How To)

Mathematica 's functions for solving differential equations can be applied to many different classes of differential equations, including ordinary differential equations ...

EllipticExpPrime (Built-in Mathematica Symbol)

EllipticExpPrime[u, {a, b}] gives the derivative of EllipticExp[u, {a, b}] with respect to u.

SuzukiDistribution (Built-in Mathematica Symbol)

SuzukiDistribution[\[Mu], \[Nu]] represents the Suzuki distribution with shape parameters \[Mu] and \[Nu].

Padé Approximation (Mathematica Tutorial)

The Padé approximation is a rational function that can be thought of as a generalization of a Taylor polynomial. A rational function is the ratio of polynomials. Because ...

Haversine (Built-in Mathematica Symbol)

Haversine[z] gives the haversine function hav(z).

Round (Built-in Mathematica Symbol)

Round[x] gives the integer closest to x. Round[x, a] rounds to the nearest multiple of a.

Efficiency (Compiled Function Tools Tutorial)

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 ...

SmoothDensityHistogram (Built-in Mathematica Symbol)

SmoothDensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}] plots a smooth kernel histogram of the values {x_i, y_i}.SmoothDensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}, espec] ...