@MISC{06discreteapproximations, author = {}, title = {Discrete approximations to continuum optimal flow problems}, year = {2006} }

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Abstract

Problems in partial differential equations with inequality constraints can be used to describe a con-tinuum analog to various optimal flow/cut problems. While general concepts from convex optimization (like duality) carry over into continuum problems, the application of ideas and algorithms from linear programming and network flow problems is challenging. The capacity constraints are non-linear (but convex). In this article, we investigate a discretized version of the planar maximum flow problem which pre-serves the non-linear capacity constraints of the continuum problem. The resulting finite-dimensional problem can be cast as a second-order cone programming problem or a quadratically constrained pro-gram. Good numerical results can be obtained using commercial solvers. These results are in agreement with the continuum theory of a “challenge ” problem posed by Strang.