PROC NETFLOW uses the Primal Simplex Network algorithm and the Primal Partitioning Algorithm to solve constrained network problems. These algorithms are fast, since they take advantage of algebraic ...
Interior-point methods constitute a robust class of algorithms for solving constrained optimisation problems by exploring the interior of the feasible region instead of traversing its boundary. These ...
Constrained network models describe a wide variety of real-world applications ranging from production, inventory, and distribution problems to financial applications. These problems can be solved with ...
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