Non convex optimization

  • How do you solve non-convex problems?

    Another idea is to use approximation algorithms, which typically produce a bound on the problem (and sometimes, a feasible solution that achieves the bound).
    An important class of non-convex problems deserves special treatment: Boolean problems, or more generally, problems with discrete (say, integer) variables..

  • Why is non convex optimization hard?

    What makes non-convex optimization hard? Such optimization problems may have multiple feasible and very flat regions, a widely varying curvature, several saddle points, and multiple local minima within each region.Jul 27, 2020.

Non convex optimization: Non-general problems? However, unlike convex optimization, non-convex optimization is rarely given as a general problem: minf (x) 

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