A new trust region technique for the maximum weight clique problem A new simple generalization of the Motzkin-Straus theorem for the maximum weight clique problem is formulated and directly proved. Within this framework a trust region heuristic is developed. In contrast to usual trust region methods, it regards not only the global optimum of a quadratic objective over a sphere, but also a set of other stationary points of the program. We formulate and prove a condition when a Motzkin-Straus optimum coincides with such a point. The developed method has complexity O(n 3 ), where n is the number of vertices of the graph. It was implemented in a publicly available software package QUALEX-MS. Computational experiments indicate that the algorithm is exact on small graphs and very efficient on the DIMACS benchmark graphs and various random maximum weight clique problem instances

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  1. Chang, Yanming; Peng, Yuejian; Yao, Yuping: Connection between a class of polynomial optimization problems and maximum cliques of non-uniform hypergraphs (2016)
  2. Gu, Ran; Li, Xueliang; Peng, Yuejian; Shi, Yongtang: Some Motzkin-Straus type results for non-uniform hypergraphs (2016)
  3. Hazan, Elad; Koren, Tomer: A linear-time algorithm for trust region problems (2016)
  4. Wang, Yang; Hao, Jin-Kao; Glover, Fred; Lü, Zhipeng; Wu, Qinghua: Solving the maximum vertex weight clique problem via binary quadratic programming (2016)
  5. Bhattacharyya, Malay; Bandyopadhyay, Sanghamitra: Finding quasi core with simulated stacked neural networks (2015)
  6. Peng, Yuejian; Tang, Qingsong; Zhao, Cheng: On Lagrangians of $r$-uniform hypergraphs (2015)
  7. Wu, Qinghua; Hao, Jin-Kao: A review on algorithms for maximum clique problems (2015)
  8. Sun, Yanping; Tang, Qingsong; Zhao, Cheng; Peng, Yuejian: On the largest graph-Lagrangian of 3-graphs with fixed number of edges (2014)
  9. Tang, Qingsong; Peng, Yuejian; Zhang, Xiangde; Zhao, Cheng: On graph-Lagrangians of hypergraphs containing dense subgraphs (2014)
  10. Gruzdeva, Tatyana V.: On a continuous approach for the maximum weighted clique problem (2013)
  11. Peng, Yuejian; Zhao, Cheng: A Motzkin-Straus type result for 3-uniform hypergraphs (2013)
  12. Pištěk, Miroslav: Approximate dynamic programming based on high dimensional model representation (2013)
  13. Smith, Derek H.; Montemanni, Roberto: Permutation codes with specified packing radius (2013)
  14. Wu, Qinghua; Hao, Jin-Kao: An adaptive multistart tabu search approach to solve the maximum clique problem (2013)
  15. Dang, Duc-Cuong; Moukrim, Aziz: Subgraph extraction and metaheuristics for the maximum clique problem (2012)
  16. Gualandi, Stefano; Malucelli, Federico: Exact solution of graph coloring problems via constraint programming and column generation (2012)
  17. Held, Stephan; Cook, William; Sewell, Edward C.: Maximum-weight stable sets and safe lower bounds for graph coloring (2012)
  18. McClosky, Benjamin; Hicks, Illya V.: Combinatorial algorithms for the maximum $k$-plex problem (2012)
  19. Rebennack, Steffen; Reinelt, Gerhard; Pardalos, Panos M.: A tutorial on branch and cut algorithms for the maximum stable set problem (2012)
  20. Wu, Qinghua; Hao, Jin-Kao; Glover, Fred: Multi-neighborhood tabu search for the maximum weight clique problem (2012)

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