Algorithms for routing around a rectangle
Discrete Applied Mathematics - Special issue: graphs in electrical engineering, discrete algorithms and complexity
Disjunctive programming: properties of the convex hull of feasible points
Discrete Applied Mathematics
An Efficient Algorithm for the Ring Loading Problem with Integer Demand Splitting
SIAM Journal on Discrete Mathematics
Linear time algorithms for the ring loading problem with demand splitting
Journal of Algorithms
Multicommodity flows in cycle graphs
Discrete Applied Mathematics
A compact formulation of the ring loading problem with integer demand splitting
Operations Research Letters
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The integer multicommodity flow problem on a cycle (IMFC) is to find a feasible integral routing of given demands between @k pairs of nodes on a link-capacitated undirected cycle, which is known to be polynomially solvable. Along with integral polyhedra related to IMFC, this paper shows that there exists a linear program, with a polynomial number of variables and constraints, which solves IMFC. Using the results, we also present a compact polyhedral description of the convex hull of feasible solutions to a certain class of instances of IMFC whose number of variables and constraints is O(@k), which in turn means that there exists a non-trivial special case for which a minimum cost integer multicommodity flow problem can be solved in polynomial time.