Per A. Brodtkorb comments

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                                            Per A. Brodtkorb

discrepancies in values of the jacobian

The problem here is that the function you are differentiating is very steep around the second parameter and therefore numdifftools fails. Numdifftools is only reliable on smooth slowly varying functions....

pluralize('datum') -> data but I wish 'datums'

Well that is debatable according to https://nxg.me.uk/note/2005/singular-data/ and https://en.wikipedia.org/wiki/Data_(word). In precise geodesy, for example, a ‘datum’ is the term for one of several models of the shape of the earth,...

pluralize('datum') -> data but I wish 'datums'

According to https://en.wikipedia.org/wiki/Data_(word) data is most often used as a singular mass noun in everyday usage. Some use it either in the singular or plural. The Associated Press style guide...

pluralize('datum') -> data but I wish 'datums'

My point is that "data" as a singular form is far more common according to https://en.wikipedia.org/wiki/Data_(word) than the latin word "datum". In English, the word datum is still used in...

Find GeoPosition from GeoPosition and cartesian vector

[See example 2](https://github.com/pbrod/nvector) or the GeoPoint.displace method.

vector-valued Hessian

Isn't that what the Hessian wrapper class do already? The Hessian wrapper computes the Hessian matrix of the scalar function f with respect to a vector constructed from all variables...

Results are NaNs

It is difficult to comment on this without an example. Can give a complete code-example @parsaDarbouy.

Higher-order multivariate derivative

Currently there is no easy way to calculate the general multivariate partial derivative like this ![\begin{align*} \frac{\partial^{n_0}}{\partial x_0^{n_0}}\dots\frac{\partial^{n_d} }{\partial x_d^{n_d}} f(x_0, \ldots, x_d) \end{align*} ](https://render.githubusercontent.com/render/math?math=%5Cdisplaystyle+%5Cbegin%7Balign%2A%7D%0A%5Cfrac%7B%5Cpartial%5E%7Bn_0%7D%7D%7B%5Cpartial+x_0%5E%7Bn_0%7D%7D%5Cdots%5Cfrac%7B%5Cpartial%5E%7Bn_d%7D+%7D%7B%5Cpartial+x_d%5E%7Bn_d%7D%7D+f%28x_0%2C+%5Cldots%2C+x_d%29%0A%5Cend%7Balign%2A%7D%0A) with numdifftools. However, for n=1...

Make dependencies optional

Ok, I can do that in the next release.

Make dependencies optional

Just note that scipy is not optional! Only algopy statsmodels matplotlib can be made optional