浮點數據類型 的英文怎麼說
中文拼音 [fúdiǎnshǔjùlèixíng]
浮點數據類型
英文
floating type- 浮 : Ⅰ動詞1 (漂在液體表面) float; drift 2 [方言] (在水裡游) swim Ⅱ形容詞1 (在表面上的) superfici...
- 點 : Ⅰ名詞1 (液體的小滴) drop (of liquid) 2 (細小的痕跡) spot; dot; speck 3 (漢字的筆畫「、」)...
- 數 : 數副詞(屢次) frequently; repeatedly
- 據 : 據Ⅰ動詞1 (占據) occupy; seize 2 (憑借; 依靠) rely on; depend on Ⅱ介詞(按照; 依據) according...
- 類 : Ⅰ名1 (許多相似或相同的事物的綜合; 種類) class; category; kind; type 2 (姓氏) a surname Ⅱ動詞...
- 浮點 : [計算機] floating decimal; floating point
- 數據 : data; record; information
- 類型 : type; mold; form; cut類型論 theory of types; 類型語句 [計算機] type statements
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In this paper, a lot of researches and exploration are applied to studying the universality and expansibility of hardware and the arithmetic design and code optimization of software. especially, all of the following arithmetics or conceptions are worked out in the research of software design : self - adaptable compression arithmetic based on dictionary model for data collection system, similarity full binary sort tree, a optimized quick search arithmetic and an improved arithmetic of multiplication in the floating - point operation. and all of the arithmetic are designed with mcs - 51 assembly language. the quick search arithmetic, in which merits of both binary search and sequence search are used fully, are based on the specialty of preorder traversal in similarity full binary sort tree
特別在軟體設計研究中,提出了適用於數據採集系統的數據壓縮演算法? ?基於字典模型的自適應壓縮演算法;提出了類滿二叉排序樹的定義;提出了基於類滿二叉排序樹的先序遍歷特性的最優化快速查找演算法,它充分利用了折半查找和順序查找各自的優點;提出了浮點運算乘法的改進演算法;並在mcs - 51匯編語言層次上對所有的演算法加以實現。In chapter one the types and characteristic of ultraphytoplankton are introduced first, then the working principle and protocols of flow cytometry for ultraphytoplankton measurements are also presented. the main purpose of this part is to make good understanding of the works in east china sea and yellow sea
在第一章中重點介紹了超微型浮游植物的主要類型、特點,和流式細胞計檢測超微型浮游植物的原理與方法,本文所採用的主要研究方法如采樣、測試及數據分析等均在這一章中給出,以便對在東、黃海的工作結果有清楚的理解。Data type that represents a floating point decimal value
表示浮點十進制值的float數據類型。The default data type for floating - point numbers is
浮點數的默認數據類型是Data types and floating - point precision
數據類型和浮點精度Double a double - precision floating point number data type
雙精度浮點數數據類型。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。Either expression is a floating - point data type
每個表達式都是浮點數據類型(Is not a floating - point data type
不是浮點數據類型。Double is the most efficient data type, because the processors on current platforms perform floating - point operations in double precision
是最有效的數據類型,因為當前平臺上的處理器以雙精度形式執行浮點運算。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。Because the calculation involves floating - point data types that are represented in memory by less than 80 bits, however, carrying the extra bits of precision 80 bits minus the number of bits in a smaller floating - point type through a lengthy calculation can produce inconsistent results
然而,由於計算涉及浮點數據類型(在內存中用少於80位表示) ,在冗長計算中進位多餘精度位( 80位減去較小浮點型的位數)會產生不一致的結果。The dt date data type is implemented using an 8 - byte floating - point number
Dt _ date數據類型是使用8位元組浮點數字來實現的。The nullability property of arithmetic operators over floating point data type is always nullable
對浮點數據類型執行運算的算術運算符的為空性屬性始終可為空。Miu memory interface unit. this is responsible for data conversion and formatting for floating point data types
內存介面單元此負責浮點數類型的數據轉換和格式。The nullability property of arithmetic operators over the floating point data type is changed to nonnullable for the case where the inputs are nonnullable and ansi warnings is on
在輸入不可為空並且ansi _ warnings為on的情況下,對浮點數據類型執行運算的算術運算符的為空性屬性將更改為不可為空值。Converts the current value to a double - precision floating point number based on the underlying type
根據基礎類型將當前值轉換為雙精度浮點數。Ensures that all data types integers, floating point numbers, strings, and so on are correct
確保所有數據類型(整數、浮點數、字元串等)都是正確的。Data type, no exception is thrown, and the result is the class member representing
數據類型的浮點除法運算中,不會引發異常,運算結果為表示Which is the most efficient data type for such operations
類型執行大多數浮點演算法,對浮點運算來說,這是最有效的數據類型。分享友人