A weak law of large numbers for the weighted sums of non-identically distributed NA random matrix sequences is studied.
研究了不同分布NA序列加权和最大值的弱大数定律，推广了前人的结果。
Benchmarks may also have non-identically-distributed observable variables that may affect performance.
基准测试还可能有非恒等分布的可观察到的变量，它们也会影响性能。
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