precision 5510

Original Address http://www.dzsc.com/data/html/2011-1-17/88338.html1 IntroductionIn distributed systems, a global time is often needed to determine the sequence of events in the system, to coordinate the transmission of various messages, and to control and monitor the state of the system. It is necessary to unify the local time of each part in the system and clock synchronization. With the widespread application of distributed simulation system and test system on the network, how to provide reli

We compared and tested the sound quality of 16-, 20-, and 24-bit quantified digital audio data in the lab, testers with "golden ears" will use their feelings to tell you the difference between the quantization precision of different bit numbers. Through these test results, you can even see the differences between different sampling frequencies. The results of testing in well-equipped acoustic recording studios are very convincing. We can see what the

From: http://blog.csdn.net/walkingman321/article/details/6133171 This article analyzes the implementation of hrtimer in linux2.6.29. In linux2.6, a new timer hrtimer is implemented. Unlike the traditional timer's time wheel algorithm, hrtimer uses the red-black tree algorithm. Hrtimer can be configured with high precision and common precision. The implementation of hrtimer in a single CPU system and multip

CPU speed (MHz) and high precision latency (microsecond) (Browsing 20979 times) Victor Chen, (C ++ fans) I. High-Precision latency is the basis of CPU speed measurementWindows has a very high-precision timer in microseconds, but different systems have different timer frequencies, which may be related to hardware and operating systems. You can use the API functi

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 binary representations of digits. Decimal binary0.1 0.0001 1001 1001 1001 ...0.2 0.0011 0011 0011 0011 ...0.3 0.0100 1100 1100 1100 ...0.4 0.0110 0110 0110 0110 ...0.5 0.10.6 0.1001 1001 1001 1001 ...So for

The float and double data are single and double, and their values are 3.4E+10 minus 38 times to 3.4E+10 of 38, and 1.7E+10 minus 308 times to 1.7E+10 of the 308. So for float, only 6-7 digits of the effective number, how can be loaded up to 3.4*10^ (-38) Such a large number? Similarly, 15-16-bit double type, also cannot install 1.7*10^ (-308) so large number ah? Answer: float 6-7 refers to number of digits of a valid number (precision), not numeric

oracle number type precision, scale range Number (p,s) P:1---38 S: -84---127 valid digits : From the left of the first number not 0, to the end of all numbers, the decimal point and minus sign are not counted in the number of significant digits. NBSP p>0, s 3 case: 1. NBSP;S>0NBSP to the right s bit of the decimal point and rounded . Then verify that the valid digits are ; ZWF. Yudong>create table T_n (ID number (5,2)); table

If I ask you 0.1 + 0.2 equals how many? You may send me a supercilious eye, 0.1 + 0.2 = 0.3 Ah, that still ask? Even the kindergarten children will answer such a childish question. But you know, the same problem is in the programming language, maybe it's not as simple as it might seem.Don't believe it? Let's look at a section of JS first. var NumA = 0.1;var NumB = 0.2;Alert (NumA + numB) = = 0.3); The execution result is false. Yes, when I first saw this code, I took it for granted that it was

This article assumes that you are familiar with the C + + and Win32 APIs Profile The time stamp (Timestamp) obtained from Windows NT has a maximum accuracy of 10 to 15 milliseconds depending on the hardware you are using. However, sometimes when you need time to label frequent events, getting higher accuracy is more satisfying. For example, what if you want to deal with threads, or do some other task at intervals of not less than 10 milliseconds? For better accuracy, the recommended approach i

BackgroundIn the blog disgusting 0.5 rounding problem article see a question about 0.5 not rounding correctly. The main thing is that a double conversion to BigDecimal does not result in the correct rounding: Public class bigdecimaltest { publicstaticvoid main (string[] args) { Double d = 301353.05; New BigDecimal (d); System.out.println (decimal); // 301353.0499999999883584678173065185546875 System.out.println (Decimal.setscale (1, roundingmode.half_up)); // 3

In Java, A BigDecimal "bug" that causes double Precision loss, bigdecimaldouble Background In the blog's disgusting 0.5 rounding question, I saw a question about 0.5 incorrect rounding. It is mainly said that after double is converted to BigDecimal, the result is not correct after rounding: public class BigDecimalTest { public static void main(String[] args){ double d = 301353.05; BigDecimal decimal = new BigDecimal(d); System.