Introduction to the Wolfram Lightweight ... (Lightweight Grid Client Tutorial)

The Wolfram Lightweight Grid System provides functions for launching and managing remote kernels, one part of a complete Mathematica^® parallel computing environment. With ...

DMSString (Built-in Mathematica Symbol)

DMSString[\[Theta]] converts an angle \[Theta] given in decimal degrees to a degrees-minutes-seconds string.DMSString[{\[Phi], \[Lambda]}] converts latitude and longitude ...

Longitude (Built-in Mathematica Symbol)

Longitude[pos] gives the longitude in degrees of a geographic position specified by pos.Longitude[pos, datum] gives the longitude referring to the specified geodetic datum.

GeoDirection (Built-in Mathematica Symbol)

GeoDirection[{lat_1, long_1}, {lat_2, long_2}] gives the azimuthal direction from one latitude-longitude position on the Earth to another.GeoDirection[pos_1, pos_2] gives the ...

BatesDistribution (Built-in Mathematica Symbol)

BatesDistribution[n] represents the distribution of a mean of n random variables uniformly distributed from 0 to 1.BatesDistribution[n, {min, max}] represents the ...

ArithmeticGeometricMean (Built-in Mathematica Symbol)

ArithmeticGeometricMean[a, b] gives the arithmetic-geometric mean of a and b.

LogitModelFit (Built-in Mathematica Symbol)

LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...

FindClusters (Built-in Mathematica Symbol)

FindClusters[{e_1, e_2, ...}] partitions the e i into clusters of similar elements. FindClusters[{e_1 -> v_1, e_2 -> v_2, ...}] returns the v_i corresponding to the e i in ...

Delay Differential Equations (Mathematica Tutorial)

A delay differential equation is a differential equation where the time derivatives at the current time depend on the solution and possibly its derivatives at previous times: ...

ProbitModelFit (Built-in Mathematica Symbol)

ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...