When numerically solving Hamiltonian dynamical systems it is advantageous if the numerical method yields a symplectic map. If the Hamiltonian can be written in separable ...
BrownForsytheTest[data] tests whether the variance of data is 1. BrownForsytheTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...
Exp
(Built-in Mathematica Symbol) Exp[z] gives the exponential of z.
FindMaximum[f, x] searches for a local maximum in f, starting from an automatically selected point.FindMaximum[f, {x, x_0}] searches for a local maximum in f, starting from ...
FindRoot[f, {x, x_0}] searches for a numerical root of f, starting from the point x = x_0.FindRoot[lhs == rhs, {x, x_0}] searches for a numerical solution to the equation lhs ...
GeometricDistribution[p] represents a geometric distribution with probability parameter p.
PairedTTest[data] tests whether the mean of data is zero. PairedTTest[{data_1, data_2}] tests whether the mean of data_1\[Dash] data_2 is zero.PairedTTest[dspec, \[Mu]_0] ...
PairedZTest[data] tests whether the mean of the data is zero. PairedZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.PairedZTest[dspec, ...
ParticleData[name, " property"] gives the specified property for a subatomic particle or family of particles with the specified name. ParticleData[{name, q}, " property"] ...
ZTest
(Built-in Mathematica Symbol) ZTest[data] tests whether the mean of the data is zero. ZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.ZTest[dspec, \[Sigma]] tests for zero ...