jnp_zeros(n, nt)

Compute :None:None:`nt` zeros of the functions $J_n'(x)$ on the interval $(0, \infty)$ . The zeros are returned in ascending order. Note that this interval excludes the zero at $x = 0$ that exists for $n > 1$ .

Parameters

n : int

Order of Bessel function

nt : int

Number of zeros to return

Returns

ndarray

First :None:None:`nt` zeros of the Bessel function.

Compute zeros of integer-order Bessel function derivatives Jn'.

See Also

jv

jvp

Examples

>>> import scipy.special as sc

We can check that we are getting approximations of the zeros by evaluating them with jvp .

>>> n = 2
... x = sc.jnp_zeros(n, 3)
... x
array([3.05423693, 6.70613319, 9.96946782])

>>> sc.jvp(n, x)
array([ 2.77555756e-17,  2.08166817e-16, -3.01841885e-16])

Note that the zero at x = 0 for n > 1 is not included.

>>> sc.jvp(n, 0)
0.0

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.special._basic.jnp_zeros scipy.special._basic.jnyn_zeros scipy.special._basic.jnjnp_zeros

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GitHub : /scipy/special/_basic.py#350
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