Computing convolutions by reciprocal search
SCG '86 Proceedings of the second annual symposium on Computational geometry
An algorithm for linear programming which requires O((m+n)n2 + (m+n)1.5n)L) arithmetic operations
Mathematical Programming: Series A and B
Minkowski addition of polytopes: computational complexity and applications to Gro¨bner bases
SIAM Journal on Discrete Mathematics
Journal of Algorithms
Mathematical Programming: Series A and B
A convex geometric approach to counting the roots of a polynomial system
Selected papers of the workshop on Continuous algorithms and complexity
Las Vegas algorithms for linear and integer programming when the dimension is small
Journal of the ACM (JACM)
Efficient incremental algorithms for the sparse resultant and the mixed volume
Journal of Symbolic Computation
On the complexity of sparse elimination
Journal of Complexity
An algorithm to compute the Minkowski sum outer-face of two simple polygons
Proceedings of the twelfth annual symposium on Computational geometry
Fixed-dimensional linear programming queries made easy
Proceedings of the twelfth annual symposium on Computational geometry
How good are convex hull algorithms?
Computational Geometry: Theory and Applications
Computing integer points in Minkowski sums
Proceedings of the sixteenth annual symposium on Computational geometry
Random sampling in geometric optimization: new insights and applications
Proceedings of the sixteenth annual symposium on Computational geometry
Linear programming queries revisited
Proceedings of the sixteenth annual symposium on Computational geometry
A subdivision-based algorithm for the sparse resultant
Journal of the ACM (JACM)
Rational Univariate Reduction via toric resultants
Journal of Symbolic Computation
Successive linear programs for computing all integral points in a minkowski sum
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
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Sparse elimination exploits the structure of algebraic equations in order to obtain tighter bounds on the number of roots and better complexity in numerically approximating them. The model of sparsity is of combinatorial nature, thus leading to certain problems in general-dimensional convex geometry. This work addresses one such problem, namely the computation of a certain subset of integer points in the interior of integer convex polytopes. These polytopes are Minkowski sums, but avoiding their explicit construction is precisely one of the main features of the algorithm. Complexity bounds for our algorithm are derived under certain hypotheses, in terms of output-size and the sparsity parameters. A public domain implementation is described and its performance studied. Linear optimization lies at the inner loop of the algorithm, hence we analyze the structure of the linear programs and compare different implementations.