Aug. 25, 2006
11:42 a.m.
numpy.dot.__doc__ matrixproduct(a,b) Returns the dot product of a and b for arrays of floating point types. Like the generic numpy equivalent the product sum is over
the last dimension of a and the second-to-last dimension of b. NB: The first argument is not conjugated. Does numpy support summing over arbitrary dimensions, as in tensor calculus ? I could cook up something that uses transpose and dot, but it's reasonably tricky i think :) Simon. -- Simon Burton, B.Sc. Licensed PO Box 8066 ANU Canberra 2601 Australia Ph. 61 02 6249 6940 http://arrowtheory.com