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arXiv · 2406.00065

Parallel Redundancy Removal in lrslib with Application to Projections

David Avis·Charles Jordan
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Abstract

We describe a parallel implementation in lrslib for removing redundant halfspaces and finding a minimum representation for an H-representation of a convex polyhedron. By a standard transformation, the same code works for V-representations. We use this approach to speed up the redundancy removal step in Fourier-Motzkin elimination. Computational results are given including a comparison with Clarkson's algorithm, which is particularly fast on highly redundant inputs.

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David Avis, Charles Jordan. 2024-05-30. Parallel Redundancy Removal in lrslib with Application to Projections. https://arxiv.org/abs/2406.00065

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