The number of places that are used to the left and the right of the decimal point is pre-determined and fixed for all decimal values stored in the same database.〔【出典】PEAR ◆【License】Open Publication License ◆【編集】独立行政法人情報通信研究機構 〕
It is supposed to check the logical integrity of the schema file, for instance whether you are trying to declare a index field that does not exist or even when you are trying to insert a float in a date field.〔【出典】PEAR ◆【License】Open Publication License ◆【編集】独立行政法人情報通信研究機構 〕
だからたとえばあるアドレスのワードに浮動小数点の値を入れたければ、
So for example if you want to store a floating point value in a word at a certain address,〔【出典】日英対訳文・対応付けデータ(独立行政法人情報通信研究機構)〕"_RMS3", "2449837"
Non-zero floating point numbers are true; 0.0 is false. Be careful with this one! If there's the slightest rounding error (not impossible, as you saw in the previous section) then Python will be testing 0.0000000000001 instead of 0 and will return True.〔【出典】"Dive Into Python 3" by Mark Pilgrim ◆【和訳】Fukada & Fujimoto ◆【License】CC-BY-SA-3.0 〕
ソフトウェア浮動小数点
software floating point
ソフトウェア浮動小数点ライブラリ
software floating point library
ニューヨーク証券取引所やナスダックの上場株の呼び値の小数点化
decimalization of stock prices on the NYSE〔2001年から「74 1/4ドル」でなく「74.25ドル」のようになる。従って、1¢より小さな価格変動は不可能になる。◆Beginning in 2001, stock prices on the New York Stock Exchange and NASDAQ will be displayed in the form "$74.25" rather than "$74 1/4". Price fluctuations smaller than one cent will thus be impossible.〕