# scipy.special.jnp_zeros

scipy.special.jnp_zeros(n, nt)

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

  Compute 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 n zeros of the Bessel function.

  See also

  `jvp`, `jv`

  References

  1

    Zhang, Shanjie and Jin, Jianming. “Computation of Special Functions”, John Wiley and Sons, 1996, chapter 5. https://people.sc.fsu.edu/~jburkardt/f_src/special_functions/special_functions.html

  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

scipy.special.jn_zeros scipy.special.yn_zeros