While nearly every processor and programming language supports floating point arithmetic, most programmers pay little attention to it.
虽然几乎每种处理器和编程语言都支持浮点运算，但大多数程序员很少注意它。
It is best to reserve the use of floating point arithmetic for calculations that involve fundamentally inexact values, such as measurements.
最好将浮点运算保留用作计算本来就不精确的数值，譬如测量。
Real Programmers scorn floating point arithmetic.
真正的程序员鄙视浮点运算。
In this paper we mainly study for the key technology of super precision floating point arithmetic.
本文主要研究超高精度浮点运算中的关键技术。
A processor interprets a stream of data as instructions to execute; it has one or more processing units that perform integer and floating-point arithmetic as well as more advanced computations.
处理器将数据流解释为要执行的指令，它拥有一个或多个处理单元，用于执行整数和浮点运算以及更高级的计算。
Many of the familiar algebraic rules for real number arithmetic do not always hold for floating-point arithmetic.
对于浮点算法而言，许多惯用的实数算法代数规则有时并不适用。
The reason beyond this is that those fast algorithms do reduce the complexity of computing but still one needs to use floating-point arithmetic operations in the computation process.
原因是这些快速算法虽减少了计算复杂性，但在计算过程中仍需要大量浮点运算。
Even under version 7.2, Vim does only floating-point arithmetic if one of the operands is explicitly floating-point.
即使对于版本7.2，如果其中一个运算对象被明确声明为浮点类型，那么Vim只支持浮点算术。
Remember, integer arithmetic is much faster than floating-point arithmetic, as it can usually be done directly by the processor, rather than relying on external FPUs or floating point math libraries.
记住，整形数运算要比浮点数运算快得多，因为处理器可以直接进行整型数运算，浮点数运算需要依赖于外部的浮点数处理器或者浮点数数学库。
Block floating-point arithmetic is used to enhance the dynamic range and computation accuracy.
采用块浮点算法以提高动态范围和运算精度。
Block floating-point arithmetic is used to enhance the dynamic range and computation accuracy.
采用块浮点算法以提高动态范围和运算精度。
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