Login Register

numpy.polynomial.hermite_e.hermex

numpy.polynomial.hermite_e.hermex = array([0, 1])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.polynomial.hermite_e.hermex.html

doc_NumPy

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.polynomial.hermite_e.hermefit() numpy.polynomial.hermite_e.hermefit(x, y, deg, rcond=None, full=False, w=None) [source] Least squares fit of Hermite series to data. Return the c

numpy.polynomial.hermite_e.hermeval() numpy.polynomial.hermite_e.hermeval(x, c, tensor=True) [source] Evaluate an HermiteE series at points x. If c is of length n + 1, this function r

numpy.polynomial.hermite_e.hermeval2d() numpy.polynomial.hermite_e.hermeval2d(x, y, c) [source] Evaluate a 2-D HermiteE series at points (x, y). This function returns the values: The

numpy.polynomial.hermite_e.hermegrid2d() numpy.polynomial.hermite_e.hermegrid2d(x, y, c) [source] Evaluate a 2-D HermiteE series on the Cartesian product of x and y. This function return

numpy.polynomial.hermite_e.herme2poly() numpy.polynomial.hermite_e.herme2poly(c) [source] Convert a Hermite series to a polynomial. Convert an array representing the coefficients of a H