A New Interpolation Approach for Linearly Constrained Convex Optimization
In this thesis we propose a new class of Linearly Constrained Convex Optimization methods based on the use of a generalization of Shepard's interpolation formula. We prove the properties of the surface such as the interpolation property at the boundary of the feasible region and the convergence...
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Language: | en |
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2012
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Online Access: | http://hdl.handle.net/10754/244891 |