Before you do this topic, it is necessary to understand the knowledge of floating-point numbers, how to convert floating-point numbers to decimal form, and how to turn decimal into floating-point numbersThe entire 32 bits are divided into 3
Float has an error. For example, if float a is assigned 0, A may be 0.000000001.
This value is defined in msdn.Flt_epsilon 1.192092896e-07f
If (x>-0.000001 & x
2. compiler bit extension
# Ifndef hellomac_header_h # define
Representation of a real number
1) Decimal number form
Consists of a digital 0~ 9 and a decimal point. For example: 0.0, 25.0, 5.789, 0.13, 5.0, 300., 267.8230, etc. are all valid real numbers.
Note that there must be a decimal.
2)
JavaScript has only one numeric type number, and all numbers in JavaScript are represented in the IEEE-754 standard format. The problem with the precision of floating-point numbers is not JavaScript-specific, because some decimals are infinite in
Copy Code code as follows:
//Description: JavaScript addition results will be error, in two floating-point number added when it is more obvious. This function returns a more precise addition result.
Call: Accadd (ARG1,ARG2)
return value:
Summary
For now, I just thought of three methods. If you think of other useful methods, You can also talk about them.
ParseIntBitwise operatorsMath. floor Math. ceil
Description
I. parseInt
1. Instance
ParseInt ("13 nash"); // 13 parseInt ("") //
SyntaxRound (x, prec) parameter descriptionX is optional. Specifies the number to be rounded.Prec is optional. Specifies the number of digits after the decimal point.DescriptionReturns the result of rounding x to the specified precision prec (number
1. Python numeric type
Python has two numeric types:INTEGER (int)AndFloat ).
For Python, integer types can be infinitely large.
Python integer can take any precision
For example, you can enter 2 ** to the power of 1000, and the correct result
1. to install it under the root user, the installation may fail under other users.
2. If the "floating point exception" is displayed after the installation is successful, it may be your Linux
Generally, you can reinstall another version of Linux
Data in the ieee754 format is often used at work. The data in ieee754 format occupies four bytes, as if the Motorola format is different from the Intel format.
I don't care much about it because I rarely deal with him at work (the software I use has
Regular Expression Method
Function checkrate (input){VaR Re =/^ [0-9] + .? [0-9] * $/; // determines whether the string is a number. // determines a positive integer./^ [1-9] + [0-9] * $/If (! Re. Test (input. rate. Value )){Alert ("enter a number
Regular Expression Method
CopyCode The Code is as follows: function checkrate (input)
{
VaR Re =/^ [0-9] + .? [0-9] * $/; // determines whether the string is a number. // determines a positive integer./^ [1-9] + [0-9] * $/
If (! Re. Test (input.
Some colleagues encountered a strange problem at work, which is related to floating point computing. The Code is as follows: 1 # include 2 using namespace std; 3 4 int main () 5 {6 double s = 6.0; 7 double e = 0.2; 8 9 cout (s/e) 2 using
The Code is as follows:
Copy codeThe Code is as follows: # include
# Include
# Include
# Include
# Include
# Include
# Include
Using namespace std;
String do_fraction (long double val, int decplaces = 3){Ostringstream out;Char
Three basic formats of floating point representation:Decimal format: contains a decimal point, for example, 110.0.Exponential form: for example, 11e1, the decimal part is multiplied by the Base Value of 10, and the digits after E are the same as the
In the actual calculation may appear the floating-point type invalid data, the format output to the file content is 1.79769e+308, the output to the interface is a very big string of data. Either way, it's not easy to read and find. It is worth
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