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Continuous First-Order Constraint Satisfaction with Equality and Disequality Constraints

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2470))

Abstract

In an earlier paper we have shown, how one can successfully use constraint satisfaction techniques for proving and solving formulae in the first-order predicate language over the real numbers (i.e., real first-order constraints). This approach was restricted to inputs that contain inequality symbols such as ≤, but no equality symbols (=) or disequality symbols (≠). In this paper we lay the basis for extending this approach to inputs that contain (dis)equalities. This considerably widens the practical applicability of numerical constraint satisfaction methods.

This work has been supported by a Marie Curie fellowship of the European Union under contract number HPMF-CT-2001-01255.

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References

  1. F. Benhamou and F. Goualard. Universally quantified interval constraints. In Proc. of the Sixth Intl. Conf. on Principles and Practice of Constraint Programming (CP’2000), number 1894 in LNCS, Singapore, 2000. Springer Verlag.

    Google Scholar 

  2. G. E. Collins. Quantifier elimination for the elementary theory of real closed fields by cylindrical algebraic decomposition. In B. F. Caviness and J. R. Johnson, editors, Second GI Conf. Automata Theory and Formal Languages, volume 33 of LNCS, pages 134–183. Springer Verlag, Wien, 1975.

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  3. A. Neumaier. Interval Methods for Systems of Equations. Cambridge Univ. Press, Cambridge, 1990.

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  4. S. Ratschan. Applications of real first-order constraint solving — bibliography. http://www.risc.uni-linz.ac.at/people/sratscha/appFOC.html, 2001.

  5. S. Ratschan. Continuous first-order constraint satisfaction. In Artificial Intelligence, Automated Reasoning, and Symbolic Computation, number 2385 in LNCS. Springer, 2002.

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© 2002 Springer-Verlag Berlin Heidelberg

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Ratschan, S. (2002). Continuous First-Order Constraint Satisfaction with Equality and Disequality Constraints. In: Van Hentenryck, P. (eds) Principles and Practice of Constraint Programming - CP 2002. CP 2002. Lecture Notes in Computer Science, vol 2470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46135-3_45

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  • DOI: https://doi.org/10.1007/3-540-46135-3_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44120-5

  • Online ISBN: 978-3-540-46135-7

  • eBook Packages: Springer Book Archive

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