floating point types 中文意思是什麼
floating point types
解釋
浮點數類型-
These are typically things like bootup sequences and device drivers, but also may include floating - point code including long long types
這些通常是啟動次序和設備驅動程序,不過也可能包括浮點代碼(包括long long類型) 。 -
Floating - point arithmetic overflow or division by zero never throws an exception, because floating - point types are based on ieee 754 and so have provisions for representing infinity and nan not a number
浮點算術溢出或被零除從不引發異常,因為浮點類型基於ieee 754 ,因此可以表示無窮和nan (不是數字) 。 -
Floating - point values must be converted to integral types before bitwise operation can proceed
浮點值必須轉換為整型后,才能執行按位運算。 -
For information on arithmetic expressions with mixed floating - point types and integral types, see
有關兼用浮點型和整型的算術表達式的信息,請參見 -
For more information on arithmetic expressions with mixed floating - point types and integral types, see
有關兼用浮點型和整型的算術表達式的更多信息,請參見 -
The floating - point status and control register fpscr captures status and exceptions resulting from floating - point operations, and the fpscr also provides control bits for enabling specific exception types, as well as for selecting one of the four rounding modes
浮點狀態和控制寄存器( fpscr )捕獲浮點操作的狀態和異常結果, fpscr還具有控制位,以支持特定的異常類型和對四種舍入模式之一的選擇。 -
Floating - point types support fewer significant digits than
浮點類型支持的有效位比 -
If one of the floating - point types is
如果其中一個浮點類型為 -
All numeric types, including the unsigned and floating - point types and
所有numeric類型,包括無符號和浮點類型以及 -
Data types and floating - point precision
數據類型和浮點精度 -
A real type defines a set of numbers that can be represented with floating - point notation. the table below gives the ranges and storage formats for the fundamental real types
翻譯:實數類型定義了一組可以以浮點記號描述的數。下表給出了重要的實數類型的范圍和存儲格式。 -
The floating - point data types do not have any internal representation of trailing 0 characters
浮點數據類型沒有尾隨0字元的任何內部表示形式。 -
If your application uses floating - point types, but your requirements can be met using an exact decimal type
如果應用程序使用浮點類型,但是只要使用十進制類型( -
Double is the most efficient of the fractional data types, because the processors on current platforms perform floating - point operations in double precision
是小數數據類型中效率最高的,因為目前各平臺的處理器都是以雙精度來進行浮點運算。 -
There is no implicit conversion from floating - point types to
不存在從浮點型到 -
Also, there is no implicit conversion from floating - point types to
同樣,不存在從浮點型到 -
There are no implicit conversions between floating - point types and the
類型之間的隱式轉換。 -
Method ; it compensates for the rounding error inherent in floating - point types such as
在「 assert . areequal 」方法的此重載中需要該delta參數;它可以補償「 doubles 」等浮點型所固有的舍入錯誤。 -
And floating - point types without a cast results in a compilation error
和浮點型將導致編譯錯誤。 -
You can mix numeric integral types and floating - point types in an expression
可在一個表達式中兼用數值整型和浮點型。
分享友人