To what extent can the column generation method for solving linear programs be extended to solving more general convex optimization problems?

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Are there column generation approaches to solving classes of convex optimization problems other than LPs, and are they guaranteed to find a global minimizer?

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Column generation is a standard tool for large scale, possibly smooth convex optimization problem.

Standard application are radiation therapy, traffic equilibrium among others.

Under suitable assumption column-generation scheme can also converge to critical point of non convex problems.

Take a look at

http://www.math.chalmers.se/~mipat/LATEX/CGSD.ps http://oa.upm.es/15270/1/INVE_MEM_2011_122534.pdf