SupPy toolbox applies superiorization to three physics problems and shows improved outcomes over feasibility-seeking alone, including viable plans on infeasible sets.
Canadian Journal of Mathematics 6, 393–404 (1954)
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Investigates Fejér* monotonicity in Hilbert spaces for optimization algorithms, its weak and strong convergence, and comparisons to quasi-Fejér-type notions via examples.
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GPU-accelerated superiorization on constrained physical problems with SupPy
SupPy toolbox applies superiorization to three physics problems and shows improved outcomes over feasibility-seeking alone, including viable plans on infeasible sets.