Counting the number of integer points of non-parametric and parametric polytopes with the PolyhedralSets in Maple

When solving systems of polynomial equations and inequalities, the task of computing their solutions with integer coordinates is a much harder problem than that of computing their real solutions or that of computing all their solutions. In fact, in the presence of non-linear constraints this task may simply become an undecidable problem. However, studying the integer solutions of systems of equations and inequalities is of practical importance in areas like combinatorial optimization and compiler construction. Over the past 10 years, a series of projects has equipped the computer algebra system Maple with a number of tools for dealing with the integer points of systems of linear equations and inequalities, even in the presence of parameters. With these tools, one can either decide whether integer point solutions exist, or count them, or describe them in a compact way, or enumerate them. In this paper, we will give a tour of these facilities and illustrate their usage with a number of applications. In this paper, we have discussed the adaptation of Barvinok’s algorithm for integer point counting from non-parametric polytopes to parametric polytopes. We report on a Maple implementation of this adaptation. This includes a general framework called Value- UnderConstraints in support of parametric system solving. Additionally, in order to represent the parametric results of these counting of para- metric system, a new Maple data structure called Quasi-polynomial was built.

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Publication Details

Journal
Maple Transactions
Published
2025-06-06
DOI
https://doi.org/10.5206/mt.v5i2.22392
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
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article

Counting the number of integer points of non-parametric and parametric polytopes with the PolyhedralSets in Maple

Linxiao Wang, Marc Moreno Maza, Rui-Juan Jing, Yuzhuo Lei et al.
Maple Transactions
Advanced Numerical Analysis Techniques
article

Counting the number of integer points of non-parametric and parametric polytopes with the PolyhedralSets in Maple

Linxiao Wang, Marc Moreno Maza, Rui-Juan Jing, Yuzhuo Lei, Christopher Frank Stephan Maligec
article en

Abstract

When solving systems of polynomial equations and inequalities, the task of computing their solutions with integer coordinates is a much harder problem than that of computing their real solutions or that of computing all their solutions. In fact, in the presence of non-linear constraints this task may simply become an undecidable problem. However, studying the integer solutions of systems of equations and inequalities is of practical importance in areas like combinatorial optimization and compiler construction. Over the past 10 years, a series of projects has equipped the computer algebra system Maple with a number of tools for dealing with the integer points of systems of linear equations and inequalities, even in the presence of parameters. With these tools, one can either decide whether integer point solutions exist, or count them, or describe them in a compact way, or enumerate them. In this paper, we will give a tour of these facilities and illustrate their usage with a number of applications. In this paper, we have discussed the adaptation of Barvinok’s algorithm for integer point counting from non-parametric polytopes to parametric polytopes. We report on a Maple implementation of this adaptation. This includes a general framework called Value- UnderConstraints in support of parametric system solving. Additionally, in order to represent the parametric results of these counting of para- metric system, a new Maple data structure called Quasi-polynomial was built.

Maple TransactionsVol. 5(2)
Jiangsu University (CN), Western University (CA), Huawei Technologies (Canada) (CA)
Openalex Percentile: Top 86%
Advanced Numerical Analysis Techniques
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