Lecture 22
نویسندگان
چکیده
The primal-dual method increases the dual variables gradually until some dual constraint becomes tight. Then, the primal variable corresponding to the tight dual constraint is ‘bought’ (or selected), and the process continues till we get a feasible primal solution. Next, we compare the value of the primal solution to the value of the dual solution to get an appropriate approximation factor (or an exact algorithm). By weak duality, the ratio between the primal and the dual value is an upperbound on the approximation factor.
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