floating point numbers 中文意思是什麼

floating point numbers 解釋
浮點數
  • floating : adj. 1. 漂浮的,浮動的,流動性的。2. 【醫學】游離的。3. 移動的;不定的。4. (塗工的)第二道(漆等)。5. (船貨)未到埠的,在海上的,在運輸中的。
  • point : n 1 尖頭,尖端;尖頭器具;〈美國〉筆尖;接種針,雕刻針,編織針;小岬,小地角;【拳擊】下巴。2 【...
  • numbers : n. 【聖經】民數記〈=the book of Numbers, 略 Num. 或 Numb. 〉。
  1. Justify data appropriately. for columns of data it is common practice to right justify integers, decimal align floating point numbers, and left justify strings

    合理對齊數據。對于縱列的數據而言,很實用的方式是右對齊整數部分,小數和小數點部分左對齊。
  2. Any rounding or truncation of floating - point numbers is implementation defined

    任何四捨五入或浮點數的捨去是實作自訂的
  3. Divides two numbers and returns a floating - point result

    將兩個數相除並返回以浮點數表示的結果。
  4. Functions ceilng, floor and round transform floating point numbers into integers in the specified way

    函數ceilng , floor和round以三種不同的舍入方式將小數轉換成整數。
  5. The number of significant digits displayed in floating point numbers

    浮點類型數顯示時的有效位數。
  6. As an example we will write a small program to read and evaluate arithmetic expressions consisting of floating point numbers, parentheses and the usual operators for addition, subtraction, and so on

    例如我們要寫一個計算由浮點數、圓括號及一些常用的加、減等算術符號組成的算術表達式的程序。
  7. The default data type for floating - point numbers is

    浮點數的默認數據類型是
  8. Conversion from floating - point numbers to integer values truncates the number toward zero

    從浮點數向整數值的轉換將向零截斷數字。
  9. Conversions from floating - point numbers to integer values truncate the number toward zero

    從浮點數向整數值的轉換將向零截斷數字。
  10. Is unspecified for floating - point numbers

    Rem . un對于浮點數是未指定的。
  11. Three improvements were proposed. that is : coding the chromosome with floating point numbers, selecting different optimal strategy according to the electric dimension of the target, utilizing subsection varying parameter genetic algorithm to avoid trapping in premature convergence. the optimization time was saved significantly after adopting these methods

    針對球面和半球面結構的雷達吸波材料優化設計時間長,提出三點改進方法:染色體採用浮點數編碼;依據優化目標的電尺寸採用不同的優化策略;優化過程中採用分段變參數的優化方法。
  12. Extended floating - point numbers

    擴增浮點數
  13. The major tasks include : ( 1 ) expand the schema theorem for ga. the schema theorem with binary coding advanced by professor holland is expanded to limited integer, letter, floating point numbers the number of which value is limited, and their hybrid coding. ( 2 ) put forward replacing by the excellent chromosome ga ( recga ), superiority colony first ga ( scfga ) and improve the ga ; ( 3 ) make probability convergence analysis of recga using the theory of markov chain, random process ; ( 4 ) make convergence analysis of scfga using the principle of contractive mapping in functional analysis theory ; ( 5 ) design the test programs ( cap ) to resolve np problems ( course arrangement ) with gas ; based on recga, modify the arithmetic and then conduct tests

    主要有以下幾方面工作: ( 1 )將二進制編碼遺傳演算法的模式定理擴展到由有限整數、字母或取值個數有限的浮點數編碼,或它們混合編碼的遺傳演算法范圍; ( 2 )提出最佳個體替換策略遺傳演算法( recga ) 、優勢群體優先策略遺傳演算法( scfga ) ,對遺傳演算法進行改進; ( 3 )使用隨機過程理論markov鏈對recga進行了收斂性分析; ( 4 )使用泛函分析理論壓縮映射原理對scfga進行了收斂性分析; ( 5 )使用遺傳演算法設計了解決np類問題(排課問題)的測試程序( cap ) ,並根據recga對演算法進行改進並進行測試。
  14. Why floating - point numbers may lose precision

    >為何浮點數可能丟失精度
  15. Signed double precision floating point numbers

    有符號雙精度浮點數
  16. The fundamental types are characters, and integers and floating point numbers of several sizes

    基本類型是各種大小的字元型,以及整型和浮點型數據等幾種類型
  17. 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。
  18. If you have a very large number of variables that hold small floating - point numbers, the common language runtime can sometimes store your

    如果有大量的變量存儲小浮點數,公共語言運行庫有時可以更加高效地存儲
  19. Two apparently equivalent floating - point numbers might not compare equal because of differences in their least significant digits

    兩個看來相等的浮點數字的比較結果可能為不相等,因為它們的最低有效位不同。
  20. Two floating - point numbers that appear equal for a particular precision might not compare equal because their least significant digits are different

    某個特定精度似乎相等的兩個浮點數可能會因為其最低有效位不同而不相等。
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