"Charles R Harris" <[EMAIL PROTECTED]> writes: > The automatic handling of pointers for the default allocation type is also > convenient and makes it reasonable to have functions return matrices and > vectors.
Hmm, I wonder whether I missed something when I read the manual. I didn't see anything in the docs that suggests that ublas matrices do COW, reference semantics or anything else to make C++'s horrible pass-by-value semantics bearable performancewise, so I return and pass in shared_ptr's to matrices, which is syntactically ugly but avoids the need to write a (reference semantics) wrapper class for matrix. Am I missing some easier way to efficiently return and pass large matrices? 'as _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
