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Thu, 16 Nov 2017 08:55:47 -0800
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Tutor maillist - Tutor@python.org
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Hi All,
I am facing a problem for constrained linear least square fitting. In my
case the matrix equation looks like [Y]nX1=[X]nXm[P]mX1, where Y and P are
vectors and X is a matrix and n, m are dimension of the matrix. Further,
there is a equality constraint on P which is Sum(P(i))=0.0. How do I
