The Relax Codes for Linear Minimum Cost Network Flow Problems*
نویسندگان
چکیده
We describe a relaxation algorithm [ 1,2] for solving the classical minimum cost net-work flow problem. Our implementation is compared with mature state-of-the-artprimal simplex and primal-dual codes and is found to be several times faster on alltypes of randomly generated network flow problems. Furthermore, the speed-upfactor increases with problem dimension. The codes, called RELAX-II and RELAXT-II,have a facility for efficient reoptimization and sensitivity analysis, and are in thepublic domain.
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