I thought the difficulty was with getting Order to represent
multidimensional orders and do anything nontrivial with them.

Aaron Meurer

On Mon, Jun 23, 2014 at 3:05 PM, Vinzent Steinberg
<vinzent.steinb...@gmail.com> wrote:
> On Monday, June 16, 2014 4:47:07 PM UTC-4, Klaus Santor wrote:
>>
>> The current method for two variable expansion is to make two one
>> dimensional expansions after removing (via removeO()) the order term for the
>> first expansion. This isn't entirely satisfactory since there is then no
>> proper error term for the two variable expansion. However, the technique
>> does work for getting a series expansion of an explicit function of two
>> variables (without error term). My issue is that it fails completely for an
>> expansion of a general f(x,y). One dimensional expansions work fine for f(x)
>> so that's not the concern. Here is an example that fails:
>> f(x,y).series(x,0,3).removeO().series(y,0,3).removeO().
>> Is there any way around this failure?
>
>
> It fails because series() does not know how to deal with the evaluated
> partial derivatives. I don't see a way around teaching series() how to do
> it.
>
> Vinzent
>
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