InitializeGenerator (Equation Trekker Package Symbol)

InitializeGenerator[gen, problem, dvars, {t, t_min, t_max}, opts] returns the trek generator gen[data] when called by EquationTrekker. The specific form of data depends on ...

Characteristic (Finite Fields Package Symbol)

Characteristic[f] gives the characteristic of the field f.

NFourierCosTransform (Fourier Series Package Symbol)

NFourierCosTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier cosine transform of expr evaluated at the numerical value \[Omega], where expr is a ...

NFourierSinTransform (Fourier Series Package Symbol)

NFourierSinTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier sine transform of expr evaluated at the numerical value \[Omega], where expr is a ...

NFourierTransform (Fourier Series Package Symbol)

NFourierTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier transform of expr evaluated at the numerical value \[Omega], where expr is a function of t.

NInverseFourierCosTransform (Fourier Series Package Symbol)

NInverseFourierCosTransform[expr, \[Omega], t] gives a numerical approximation to the inverse Fourier cosine transform of expr evaluated at the numerical value t, where expr ...

NInverseFourierSinTransform (Fourier Series Package Symbol)

NInverseFourierSinTransform[expr, \[Omega], t] gives a numerical approximation to the inverse Fourier sine transform of expr evaluated at the numerical value t, where expr is ...

NInverseFourierTransform (Fourier Series Package Symbol)

NInverseFourierTransform[expr, \[Omega], t] gives a numerical approximation to the inverse Fourier transform of expr evaluated at the numerical value t, where expr is a ...

MeanDifferenceCI (Hypothesis Testing Package Symbol)

MeanDifferenceCI[list_1, list_2] gives a confidence interval for the difference between the population means estimated from list_1 and list_2.

VarianceTest (Hypothesis Testing Package Symbol)

VarianceTest[list, \[Sigma]_0 2] performs a test with null hypothesis \[Sigma]^2 = \[Sigma]_0 2.