Figure 5 shows the analysis: Instead of 3,192 function calls, only 30 were required (and only half of those computed any result), and time was reduced to 20 milliseconds.
图5展示了分析结果：与上次的3192次函数调用相比，这里仅需要30次调用(并且只有一半的调用需要计算结果)，而时间则减少为只有20毫秒。
R provides still more tools for time series analysis. For example, we can plot the autocorrelation function for the living room temperature.
R还具有更多用于时间序列分析的工具。
Designers have to spend most of time and energy on timing analysis, because a slight mismatch would lead whole failure of entire logic function.
设计人员通常在时序分析上花大量的时间和精力，因为一个微小的时序问题能导致整个设计的逻辑功能的错误。
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