chaospy.E

chaospy.E(poly, dist=None, **kws)

The expected value of a distribution or polynomial.

1st order statistics of a probability distribution or polynomial on a given probability space.

Args:

poly (numpoly.ndpoly, Distribution):

Input to take expected value on.

dist (Distribution):

Defines the space the expected value is taken on. It is ignored if poly is a distribution.

Returns:

(numpy.ndarray):

The expected value of the polynomial or distribution, where expected.shape == poly.shape.

Examples:

>>> dist = chaospy.J(chaospy.Gamma(1, 1), chaospy.Normal(0, 2))
>>> chaospy.E(dist)
array([1., 0.])
>>> q0, q1 = chaospy.variable(2)
>>> poly = chaospy.polynomial([1, q0, q1, 10*q0*q1-1])
>>> chaospy.E(poly, dist)
array([ 1.,  1.,  0., -1.])