J4 ›› 2013, Vol. 51 ›› Issue (03): 403-407.
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CONG Weijie
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Abstract:
Two approximate optimality conditions of the weighted Euclidean onecenter (WEOC) problem were defined. Based on the idea of sequential minimal optimization (SMO) method, an SMOtype algorithm for the WEOC problem was proposed. By means of this algorithm, a (1+ε)approximate solution of the WEOC problem was computed, which satisfys the second approximate optimality condition. At each iteration, it updates only two components of the dual variable. The numerical results show the proposed SMOtype algorithm is simple to implement, can effectively solve largescale problem with a high degree of accuracy.
Key words: weighted Euclidean onecenter, sequential minimal optimization, optimality condition, approximation algorithm
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CONG Wei-Jie. SMOType Algorithm for Solving the WeightedEuclidean OneCenter Problem[J].J4, 2013, 51(03): 403-407.
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