Constraint Consensus Methods for Finding Interior Feasible Points in Second-Order Cones
Optimization problems with second-order cone constraints (SOCs) can be solved efficiently by interior point methods. In order for some of these methods to get started or to converge faster, it is important to have an initial feasible point or near-feasible point. In this paper, we study and apply Ch...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2010-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2010/307209 |
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