You can run into issues of things like overflow, underflow, with floating point numbers and when you see a whole bunches of ones, it's particularly a good time to be suspicious.
来看看哪儿会出问题,你可能会碰到浮点数中的溢出和下溢问题,当你碰到一系列这种问题后,可能就会适时的开始怀疑结果的正确性。
Intel's ability to deliver good enough chips in large Numbers meant profits no longer had to be Shared with secondary manufacturers.
英特尔大规模生产质量过硬的芯片的能力意味着他们不再需要和二级生产商分享利润了。
The exponential function serves as a good example of how careful you have to be when dealing with limited-precision floating-point Numbers instead of infinitely precise real numbers. ex (Math.exp ).
指数函数是一个很好的例子,它表明处理有限精度浮点数(而不是无限精度实数)时是需要非常小心的。
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