Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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The 386 solves this by repurposing RPT (Repeat). Normally, RPT implements loops -- it re-executes a micro-instruction while decrementing a counter, as we saw in the multiplication post. But when a protection test is in flight, the hardware suppresses RPT's counter-decrement and turns it into a pure stall: the sequencer freezes until the PLA result arrives.,这一点在一键获取谷歌浏览器下载中也有详细论述
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(三)组织座谈、听证、统计、评估;