`scipy.optimize._differentiable_functions:VectorFunction`

source: /scipy/optimize/_differentiable_functions.py :525

Signature

   class     VectorFunction (    fun    ,    x0    ,    jac    ,    hess    ,    finite_diff_rel_step    =  None   ,    finite_diff_jac_sparsity    =  None   ,    finite_diff_bounds    =  (-inf, inf)   ,    sparse_jacobian    =  None   ,    workers    =  None     )

Members

Summary

Vector function and its derivatives.

Extended Summary

This class defines a vector function F: R^n->R^m and methods for computing or approximating its first and second derivatives.

Notes

This class implements a memoization logic. There are methods fun, jac, hess` and corresponding attributes f, J and H. The following things should be considered:

Use only public methods fun, jac and hess.
After one of the methods is called, the corresponding attribute will be set. However, a subsequent call with a different argument of any of the methods may overwrite the attribute.

Aliases

scipy.optimize._constraints.VectorFunction