A faster algorithm for counting the integer points number in $\Delta$-modular polyhedra (corrected version)
D. V. Gribanov, D. S. Malyshev

TL;DR
This paper introduces a new fixed-parameter tractable algorithm for counting integer points in $\Delta$-modular polyhedra, improving efficiency over previous methods by avoiding Barvinok's decomposition and using exponential series representations.
Contribution
The authors develop a novel FPT-algorithm for counting integer points in $\Delta$-modular polyhedra that surpasses existing approaches in efficiency and does not rely on Barvinok's unimodular sign decomposition.
Findings
The new algorithm is more efficient for $\Delta$-modular problems.
It provides FPT algorithms for counting points in $\Delta$-modular simplices.
It enables fixed-parameter tractable solutions for $\Delta$-modular subset-sum problems.
Abstract
Let a polytope be defined by a system . We consider the problem of counting the number of integer points inside , assuming that is -modular, where the polytope is called -modular if all the rank sub-determinants of are bounded by in the absolute value. We present a new FPT-algorithm, parameterized by and by the maximal number of vertices in , where the maximum is taken by all r.h.s. vectors . We show that our algorithm is more efficient for -modular problems than the approach of A. Barvinok et al. To this end, we do not directly compute the short rational generating function for , which is commonly used for the considered problem. Instead, we use the dynamic programming principle to compute its particular representation in the form of exponential series that depends on a single variable. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Image Processing Techniques · Data Management and Algorithms · Topological and Geometric Data Analysis
