# scipy.special.jn_zeros

scipy.special.jn_zeros(n, nt)

  Compute zeros of integer-order Bessel functions Jn.

  Compute nt zeros of the Bessel 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 \(n > 0\).

  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

  `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 `jv`.

      >>> n = 1
      >>> x = sc.jn_zeros(n, 3)
      >>> x
      array([ 3.83170597,  7.01558667, 10.17346814])
      >>> sc.jv(n, x)
      array([-0.00000000e+00,  1.72975330e-16,  2.89157291e-16])

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

      >>> sc.jv(1, 0)
      0.0

scipy.special.jnyn_zeros scipy.special.jnp_zeros