daepy.derivatives¶
-
daepy.derivatives.
approx_jac
(stream, x, epsilon, pool, *args, **kwargs)¶ Compute a finite difference approximation of the jacobian of a serialised function stream at x with stepsize epsilon using a
multiprocessing.pool.Pool
pool. Extra arguments and keyword arguments for the serialsed function may be passed following the other arguments. A python function can be serialised usingdill.dumps()
.
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daepy.derivatives.
step
(stream, x, epsilon, c, current, *args, **kwargs)¶