float significant digits

The IEEE754 standard describes in detail the format of single-precision floating-point numbers Chaviki Wikipedia ieee_754-1985 describes the categories that include how to express (Statute non-regulated 0 infinite NAN) and why it is so expressedThe

0)Test instructionsTest instructions is very simple, give a map of the island surrounded by the sea, the island with a vertex (the title data to ensure that the island is a convex polygon-the so-called convex polygons and concave polygonal

Original URL: http://blog.sina.com.cn/s/blog_827d041701017ctm.htmlQuestions raised: 12.0f-11.9f=0.10000038, "Lose The Endless" why?An explanation from MSDN:Http://msdn.microsoft.com/zh-cn/c151dt3s.aspxWhy floating-point numbers may lose precision

Package test1;public class Test2 {/*** @param args*/public static void Main (string[] args) {Float xx = 2.0f;Float yy = 1.8f;Float tt = XX-YY;System.out.println ("tttttt-----" + TT);}}Sure enough, the result is: TTTTTT-----0.20000005Again testing

Python built-in functions (22) -- float, python built-in 22 float English document: Classfloat([X]) Return a floating point number constructed from a number or stringX. If the argument is a string, it shoshould contain a decimal number, optionally

This article explains why the range of float is larger than int (same as 4 bytes), but some int is not correctly expressed by float (loss of precision)The precision problem of float and double in Java1. Background KnowledgeIn Java there is no detail,

Let's talk about the binary algorithm in the computer: IntegerWe should be familiar with the binary algorithm of integers, that is, dividing them by two to get the remainder, and then sorting the remainder in reverse order. For example, calculate

This article analyzes the usage differences between floating-point (float) and integer (integer) data types in PHP and, in that case, insufficient data lengths. The value can only be true or false, and when other types are converted to Boolean, the

Questions raised: 12.0f-11.9f=0.10000038, "Lose The Endless" why?Now let's analyze in detail why a floating point operation causes loss of precision.1, Decimal binary representation problemFirst of all, we need to figure out the following two

The storage mechanism of floating-point numbers in memory differs from the integer number, which has rounding errors, and is used to approximate any real numbers in the computer. In particular, the real number is multiplied by an integer or a