bundles / scipy latest / scipy / integrate / _bvp / estimate_fun_jac

function

`scipy.integrate._bvp:estimate_fun_jac`

source: /scipy/integrate/_bvp.py :16

Signature

def estimate_fun_jac ( fun , x , y , p , f0 = None )

Summary

Estimate derivatives of an ODE system rhs with forward differences.

Returns

df_dy : ndarray, shape (n, n, m): Derivatives with respect to y. An element (i, j, q) corresponds to d f_i(x_q, y_q) / d (y_q)_j.
df_dp : ndarray with shape (n, k, m) or None: Derivatives with respect to p. An element (i, j, q) corresponds to d f_i(x_q, y_q, p) / d p_j. If p is empty, None is returned.

Aliases

scipy.integrate._bvp.estimate_fun_jac