and doing interpolation at the same time.

tools they would probably prefer to use.

to #include <> syntax.

program lists

assignment problem learning tools to also include an optional
num_nonnegative_weights() method.  This method can be used to tell any machine
learning tools which elements of the learned parameter vector should be
non-negative.  As part of this change, I also removed the previous methods for
doing this from the structural_assignment_trainer since they are now redundant.

to cout.

unit tests.

of TCP connections in the TIME_WAIT state on Windows XP.  This results in the tests failing
if you run them multiple times within the TIME_WAIT timeout period.  So this change makes
the tests less likely to false alarm when run on Windows XP.

matrix with a sparse vector.

like normal rather than passing it back by reference.