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Method Details |
Argument n is how many points you want the polynomials evaluated at. The ordinates of the points are placed in self.x. You may alternatively specify the points as argument x, in which case the x_() function will never be called. |
Weighting function to get orthonormality. This sets self._numwt. |
Calculates the points at which the function is evaluated, if you want m evenly spaced points. By default, the function is assumed to range over the open interval (-1, 1). You can override this function in a subclass to get a different range. |
Self.P(i) is the ith orthogonal polynomial. The result is normalized so that numpy.sum(self.wt() * self.P(i)**2) == 1. It returns an un-shared array, so the array can be modified without affecting future calls to P(i). |
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