A CDCL-style calculus for solving non-linear constraints
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Abstract (arXiv)
In this paper we propose a novel approach for checking satisfiability of non-linear constraints over the reals, called ksmt. The procedure is based on conflict resolution in CDCL style calculus, using a composition of symbolical and numerical methods. To deal with the non-linear components in case of conflicts we use numerically constructed restricted linearisations. This approach covers a large number of computable non-linear real functions such as polynomials, rational or trigonometrical functions and beyond. A prototypical implementation has been evaluated on several non-linear SMT-LIB examples and the results have been compared with state-of-the-art SMT solvers.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 May 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 1.
3 papers.
- 2021Bayesian Optimisation with Formal Guaranteescited by 0
- 2021Proof Generation in CDSATcited by 0
- 2024SMLP: Symbolic Machine Learning Provercited by 0
- 2024SMLP: Symbolic Machine Learning Prover2 Feb 2024
- 2021Proof Generation in CDSAT6 Jul 2021
- 2021Bayesian Optimisation with Formal Guarantees10 Jun 2021