An Efficient Parametric Linear Programming Solver and Application to Polyhedral Projection
Résumé
Polyhedral projection is a main operation of the polyhedron abstract domain.
It can be computed via parametric linear programming (PLP), which is more efficient than the classic Fourier-Motzkin elimination method.
In prior work, PLP was done in arbitrary precision rational arithmetic.
In this paper, we present an approach where most of the computation is performed in floating-point arithmetic, then exact rational results are reconstructed.
We also propose a workaround for a difficulty that plagued previous attempts at using PLP for computations on polyhedra: in general the linear programming problems are degenerate, resulting in redundant computations and geometric descriptions.
Origine | Fichiers produits par l'(les) auteur(s) |
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