Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Solving nonlinear multicommodity flow problems by the analytic center cutting plane method
Mathematical Programming: Series A and B - Special issue: interior point methods in theory and practice
Algorithms for Network Programming
Algorithms for Network Programming
Congestion Pricing for Schedule-Based Transit Networks
Transportation Science
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The simplicial decomposition (SD) subproblem for a nonlinear multicommodity network flow problem is simply its linear approximation. Instead of solving the subproblem optimally, this paper demonstrates that performing one iteration of Dantzig-Wolfe decomposition is generally sufficient for SD to efficiently converge to an optimal solution.