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Semi-mechanization method for a unsolved optimization problem in combinatorial geometry

Published:11 March 2007Publication History

ABSTRACT

This paper presents a new semi-mechanization method for proving the validity of an inequality conjecture about convex n-gon when n = 8 and gaining headway in proving it when n = 9. This conjecture is generally converted into a global optimization problem which is related to Heilbronn triangular problem. For solving it, the bottleneck is the complexity increasing very quickly with n. In the proposed algorithm, to reduce the dimension of freedom we first analyze the properties of the optimal configurations and try to obtain the strict polynomial inequality and equality conditions as many as possible. After the precondition, the mechanization method can be implemented to solve this nonlinear optimization problem, so we call the overall approach as semi-mechanization method. We hope our algorithm will be useful for proving the conjecture with larger value of n.

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  1. Semi-mechanization method for a unsolved optimization problem in combinatorial geometry

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      cover image ACM Conferences
      SAC '07: Proceedings of the 2007 ACM symposium on Applied computing
      March 2007
      1688 pages
      ISBN:1595934804
      DOI:10.1145/1244002

      Copyright © 2007 ACM

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      New York, NY, United States

      Publication History

      • Published: 11 March 2007

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