[Numpy-discussion] dot/inner with kwargs?

[Hans Meine]

Hi,

I am trying to do something like the following as efficiently as possible:
result[...,0] = (dat * cos(arange(100))).sum(axis = -1)
result[...,1] = (dat * sin(arange(100))).sum(axis = -1)

Thus, I was looking for dot / inner with an 'output' arg.

Q1: What is the difference between dot and inner (apart from the fact that dot 
does not seem to have docs)?

In http://www.scipy.org/Numpy_Example_List_With_Doc#inner, I read that:
> Like the generic NumPy equivalent the product sum is over
> the last dimension of a and b.
(BTW: "innerproduct" should be "inner")

Q2: What is "the generic NumPy equivalent" here?

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