A colleague just showed me this indexing behavior and I was at a loss
to explain what was going on. Can anybody else chime in and help me
understand this indexing behavior?
>>> import numpy as np
>>> np.__version__
'1.7.1'
>>> A = np.ones((2,3,5))
>>> mask = np.array([True]*4
I recently ran into some trouble with multiplying scalar variables of
type numpy.float64 with cvxopt matrices. The cvxopt matrix is converted
to a numpy array. I first reported this at the cvxopt google groups,
where I give an example:
https://groups.google.com/forum/#!topic/cvxopt/4suFNOY75E4
[Apologies for cross-posting]
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