Reformulation-Linearization Methods for Global Optimization

  title={Reformulation-Linearization Methods for Global Optimization},
  author={Hanif D. Sherali and Leo Liberti},
Discrete and continuous nonconvex programming problems arise in a host of practical applications in the context of production planning and control, location-allocation, distribution, economics and game theory, quantum chemistry, and process and engineering design situations. Several recent advances have been made in the development of branch-and-cut type algorithms for mixed-integer linear and nonlinear programming problems, as well as polyhedral outer-approximation methods for continuous… CONTINUE READING


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