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/NumPy 2.4

HermiteE Series, “Probabilists” (numpy.polynomial.hermite_e)

This module provides a number of objects (mostly functions) useful for dealing with Hermite_e series, including a HermiteE class that encapsulates the usual arithmetic operations. (General information on how this module represents and works with such polynomials is in the docstring for its “parent” sub-package, numpy.polynomial).

Classes

HermiteE(coef[, domain, window, symbol])

A HermiteE series class.

Constants

`hermedomain`	ndarray(shape, dtype=None, buffer=None, offset=0, strides=None, order=None)
`hermezero`	ndarray(shape, dtype=None, buffer=None, offset=0, strides=None, order=None)
`hermeone`	ndarray(shape, dtype=None, buffer=None, offset=0, strides=None, order=None)
`hermex`	ndarray(shape, dtype=None, buffer=None, offset=0, strides=None, order=None)

Arithmetic

`hermeadd`(c1, c2)	Add one Hermite series to another.
`hermesub`(c1, c2)	Subtract one Hermite series from another.
`hermemulx`(c)	Multiply a Hermite series by x.
`hermemul`(c1, c2)	Multiply one Hermite series by another.
`hermediv`(c1, c2)	Divide one Hermite series by another.
`hermepow`(c, pow[, maxpower])	Raise a Hermite series to a power.
`hermeval`(x, c[, tensor])	Evaluate a HermiteE series at points x.
`hermeval2d`(x, y, c)	Evaluate a 2-D HermiteE series at points (x, y).
`hermeval3d`(x, y, z, c)	Evaluate a 3-D Hermite_e series at points (x, y, z).
`hermegrid2d`(x, y, c)	Evaluate a 2-D HermiteE series on the Cartesian product of x and y.
`hermegrid3d`(x, y, z, c)	Evaluate a 3-D HermiteE series on the Cartesian product of x, y, and z.

Calculus

`hermeder`(c[, m, scl, axis])	Differentiate a Hermite_e series.
`hermeint`(c[, m, k, lbnd, scl, axis])	Integrate a Hermite_e series.

Misc Functions