但是加载orders对象会导致一个风险,就是当我们想创建两个不用引用的Orders对象时,创建两个不同的Orders对象“他们代表着同一个Orders”。
But loading order objects twice leads to a risk that NHibernate creates two different order objects "that represent the same order", when what we want are two references to the "same object".
当我们用更有代表性的小方法来衡量同步损失时,百分数很快就下降到可以容忍的范围之内。
When we measure the synchronization penalty for more representative small methods, the percentage Numbers fall quite rapidly to something much more tolerable.
当我们观察随机漫步序列时,我认为代表性原则偏误,也起了一定作用。
When we looked at the random walk series I think the representativeness heuristic played a role in there as well.
And so when we say something is exponential, we're talking about in terms of the number of bits required to represent it.
所以当我们说某些东西,是指数增长的我们指的,就是代表它的比特数。
When we looked at the random walk series I think the representativeness heuristic played a role in there as well.
当我们观察随机漫步序列时,我认为代表性原则偏误,也起了一定作用
OK. So to do this, we're going to have to do a couple of things. All right, the first one is, what do we mean by input size?
好,为了实现这种方法我们,有些事情要做,第一件事情就是,当我们说到输入的大小的时候代表了什么呢?
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