An efficient Lagrangian smoothing heuristic for max-cut
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Publication:549567
DOI10.1007/s13226-010-0039-4zbMath1227.90033OpenAlexW2048237536MaRDI QIDQ549567
Publication date: 18 July 2011
Published in: Indian Journal of Pure \& Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13226-010-0039-4
Derivative-free methods and methods using generalized derivatives (90C56) Optimality conditions and duality in mathematical programming (90C46) Combinatorial optimization (90C27)
Uses Software
Cites Work
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- New optimality conditions for quadratic optimization problems with binary constraints
- Lagrangian smoothing heuristics for Max-cut
- Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints
- Rank-Two Relaxation Heuristics for MAX-CUT and Other Binary Quadratic Programs
- An exact penalty approach for solving a class of minimization problems with boolean variables
- Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
- Randomized heuristics for the Max-Cut problem
- A Spectral Bundle Method for Semidefinite Programming
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