lmbda(v, x)
This function is defined as ,
$$\Lambda_v(x) = \Gamma(v+1) \frac{J_v(x)}{(x/2)^v},$$where $\Gamma$ is the gamma function and $J_v$ is the Bessel function of the first kind.
Order of the Lambda function
Value at which to evaluate the function and derivatives
Values of Lambda_vi(x), for vi=v-int(v), vi=1+v-int(v), ..., vi=v.
Derivatives Lambda_vi'(x), for vi=v-int(v), vi=1+v-int(v), ..., vi=v.
Jahnke-Emden Lambda function, Lambdav(x).
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._bsplines.spline_filter
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