# 演算法 ### 1.Branch-and-Bound Strategy 利用貪婪演算法找出Lower bound 只要路徑消耗大於L.B,不會繼續往下做  --- ### 2.Personnel Assignment Problem *分配工作問題* P={P1, P2, …, Pn} where P1<P2<…<Pn J={J1, J2, …, Jn} 1. A partial ordering of jobs  After topological sorting, one of the following topologically sorted sequences   2.Cost matrix  利用greedy  發現利用greedy仍需做到最一層 利用Reduced Cost Matrix可以改善 3. Reduced Cost Matrix 先使每一個row跟column都至少有一個0 其所被扣掉的總合為其Lower bound  4.利用Lower bound開始做貪婪演算法  相較於直接利用greedy,先經過Reduced Cost Matrix之後會減少做的事。
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