Counting the Number of Solutions to Constraints
Jian Zhang, Cunjing Ge, Feifei Ma

TL;DR
This paper surveys methods and tools for counting solutions to various types of constraints, highlighting their applications in automated reasoning, verification, and security.
Contribution
It provides a comprehensive overview of existing techniques for counting solutions to constraints across different domains and constraint forms.
Findings
Various techniques for counting solutions are summarized.
Applications include automated reasoning, program analysis, and security.
The survey highlights gaps and future directions in the field.
Abstract
Compared with constraint satisfaction problems, counting problems have received less attention. In this paper, we survey research works on the problems of counting the number of solutions to constraints. The constraints may take various forms, including, formulas in the propositional logic, linear inequalities over the reals or integers, Boolean combination of linear constraints. We describe some techniques and tools for solving the counting problems, as well as some applications (e.g., applications to automated reasoning, program analysis, formal verification and information security).
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Taxonomy
TopicsData Management and Algorithms · Bayesian Modeling and Causal Inference · Constraint Satisfaction and Optimization
