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Approximate SMT Counting Beyond Discrete Domains

arXiv – CS AI|Arijit Shaw, Kuldeep S. Meel||1 views
🤖AI Summary

Researchers introduce pact, a new SMT model counter that can handle hybrid formulas containing both discrete and continuous variables using hashing-based approximate counting. The tool significantly outperforms existing baselines, successfully processing 456 out of 3119 test instances compared to only 83 for the baseline method.

Key Takeaways
  • pact extends SMT solving capabilities to model counting for hybrid formulas with discrete and continuous domains.
  • The tool uses hashing-based approximate model counting with theoretical guarantees for solution estimation.
  • pact makes logarithmic number of SMT solver calls relative to projection variables, improving efficiency.
  • Performance testing shows pact completed 456 instances versus 83 for baseline methods out of 3119 total instances.
  • This advancement addresses limitations of existing approaches like bit-blasting that only work with discrete variables.
Read Original →via arXiv – CS AI
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