Nondifferentiable Optimization of Lagrangian Dual Formulations for Linear Programs with Recovery of Primal Solutions
This dissertation is concerned with solving large-scale, ill-structured linear programming (LP) problems via Lagrangian dual (LD) reformulations. A principal motivation for this work arises in the context of solving mixed-integer programming (MIP) problems where LP relaxations, sometimes in higher d...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/28144 http://scholar.lib.vt.edu/theses/available/etd-06282004-125356/ |