2007/10/16, Bill Baxter <[EMAIL PROTECTED]>: > > dot() also serves as Numpy's matrix multiply function. So it's trying > to interpret that as a (3,N) matrix times a (3,N) matrix. > > See examples here: > > http://www.scipy.org/Numpy_Example_List_With_Doc#head-2a810f7dccd3f7c700d1076f15078ad1fe3c6d0d > > --bb >
2007/10/16, Charles R Harris <[EMAIL PROTECTED]>: > > > > Dot is matrix multiplication, not the "dot" product you were expecting. It > is also a bit ambiguous, as you see with the 1-D vectors, where you got what > you expected. > > Chuck > 2007/10/16, Robert Kern <[EMAIL PROTECTED]>: > > When given two 2-D arrays, dot() essentially does matrix multiplication. > The > last dimension of the first argument is matched with the next-to-last > dimension > of the second argument. > > -- > Robert Kern Thank you for your answers. So, is there a "proper" solution to do the dot product as I had expected it ? Cheers, JH
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