This paper proposes an approximate algorithm, in which the stochastic sampling process is based on a random number generator and a roulette wheel. The roulette wheel determines the node states according to its prior probabilities.

 
  • 該文提出了一種近似仿真算法。 由隨機數發(fā)生器產(chǎn)生隨機數,并按節點(diǎn)的先驗概率,由賭輪對網(wǎng)絡(luò )各個(gè)節點(diǎn)狀態(tài)賦值,得到一個(gè)采樣樣本序列。
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