minimize ||Ex - f|| subject to: Cx = y l(i) <= x(i) <= b(i), i=1,...,n.where
||.|| denotes the Euclidean norm (sum of squares)
E is an m by n matrix with m > n
x is an n-vector
f is an m-vector
C is a k by n matrix with k < n
y is a k-vector.
The l(i) and the b(i) are lower and upper bounds respectively for the
corresponding x(i). They may be negative infinity or positive infinity
respectively indicating that there is no bound constraint. There are two user callable routines - DBOCLS for the general problem and DBOLS for problems with only bounds.
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