Branch and Bound for Global NLP: Iterative LP Algorithm & Results

  • Thomas G. W. Epperly
  • Ross E. Swaney
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 9)

Abstract

This chapter presents a branch and bound algorithm for global solution of nonconvex nonlinear programs The algorithm utilizes the covering program developed in the previous chapter to compute bounds over rectangular domain partitions. An adaptive rectangular partitioning strategy is employed to locate and verify a global solution.

Keywords

Line Search Iteration Number Null Space Feasible Point Merit Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • Thomas G. W. Epperly
    • 1
  • Ross E. Swaney
    • 1
  1. 1.Department of Chemical EngineeringUniversity of WisconsinMadisonUSA

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