Hi all,
does numpy/scipy, or maybe wrapper for a lapack routine have solver
for Ax=b, L_inf (Chebyshev norm, i.e. max |Ax-b| -> min)? If there are
several ones, which ones are most suitable for large-scale, maybe ill-
conditioned problems?
Thank you in advance, D.
P.S. Currently I 'm not interested in translating the problem to LP
here, I search for more specialized solvers.
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