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As3 currently only provides the int, uint, and number numeric types. The valid value range of an int is-2 ^ 31 ~2 ^ 31-1 (-2147483648 ~ 2147483647). uint indicates the unsigned integer. The valid value range is0 ~ 2 ^ 32-1 (0 ~ 4294967295) in Adobe official instructions, the expression of number is: "number data types can represent integers, unsigned integers, and floatingPoints ." To improve performance as much as possible, the number data type should be used only for floating point numbers, or

Calculate the geometric headache place generally lies in the code quantity and the accuracy question, the code quantity question as long as usual attention accumulates the template general to be not the problem. Accuracy problem is not good to say, sometimes a precision problem may become a bottleneck, simply "finishing touch." These years of the topic is basically toward more and more the direction of the accuracy of the development, but there are so

Turn from pencilWhy can floating point numbers lose precision?Floating-point decimal values typically do not have the exact same binary representation. This is a side effect of the floating-point data representation used by the CPU. For this reason, you may experience some loss of precision, and some floating-point operations may produce unexpected results.The cause of this behavior is one of the following:

on a multi-core or multiprocessor computer. Especially on computers that support CPU frequency dynamic tuning, QueryPerformanceFrequency () under Windows system gets Hpet(assuming existence), while the QueryPerformanceCounter () Get Hpet (assuming high precision event timer (hiPrecision event timer)) The number of clock cycles since power-on, independent of CPU frequency . Previous functionThe different values are not fed back by the difference in the

In the development of high-precision operation is not very frequent, the precision of float and double can actually meet the overwhelming majority of needs, and high-precision operation is slower than the normal operation, but the use of high-precision operation is often used in the convenient API. The class of high

In the operation of floating-point numbers in PHP, a hole was encountered, which did not get the expected result, as follows: $a = 69.1;$b = $a *100;$c = $b-6910; What do you think the value of $c is? The value $c output is -9.0949470177293E-13. Why is that? In the PHP website float float page, said: The precision of floating point numbers The precision of floating-point numbers is limited. Although PH

High-precision algorithm: (from Baidu Encyclopedia)It belongs to the mathematical calculation method of processing large numbers. In general scientific calculations, it will often count to hundreds of or more of the decimal point, or perhaps hundreds of millions of to tens of billions of of a large number.Generally this kind of numbers we collectively referred to as high-precision number, high-

1. Recently I have made some sqlite3 tasks, defining a blob-type field and saving double-precision floating point numbers here, so something strange happened. The double-precision floating point number is 13.46. The hexadecimal value is 402AEB851EB851EC, but the data in SQLITE is 402ACB851EC2... 1. recently, I have made some sqlite3 tasks. I have defined a blob field and want to store the double-

Explanation: High-Precision latency is the basis of CPU speed measurement. in windows, there is a very high-precision timer with the precision in microseconds. However, the timer frequency varies with different systems, this frequency may be related to both hardware and operating systems. You can use the API function queryperformancefrequency to obtain the timer

It is not absolutely necessary to generate recommendation results by estimating preference values. Providing a recommended list from superior to inferior is sufficient for many scenarios without having to include the estimated preference value. Precision: Ratio of the relevant results in the top results Full query rate: Percentage of all relevant results included in the top results Test the previous example: Package mahout; import Java. io. file; impo

/** Addition operation, to avoid the data added after the decimal point to produce multiple digits and the loss of computational accuracy. * * @param num1 addend 1 | Num2 Addend 2*/function Numadd (NUM1, num2) {varBasenum, BaseNum1, baseNum2;Try{baseNum1= Num1.tostring (). Split (".")[1].length; } Catch(e) {baseNum1=0; } Try{baseNum2= Num2.tostring (). Split (".")[1].length; } Catch(e) {baseNum2=0; } Basenum= Math.pow (Ten, Math.max (BASENUM1, baseNum2)); return(NUM1 * basenum + num2 * basenum)/

Summary of JavaScript floating point number and operation Precision Adjustment JavaScript has only one numeric type Number, and all numbers in Javascript are represented in IEEE-754 standard format. The precision of floating point numbers is not unique to JavaScript, because some decimals useBinary indicates that the number of digits is infinite.. Decimal binary 0.1 0.0001 1001 1001 1001... 0.2 0

IEEE754 the representation of floating-point numbers. The expression range of float type data in C language is -3.4*10^38~+3.4*10^38. Double is -1.7*10^-308~1.7*10^308,long double for -1.2*10^-4932~1.2*10^4932. Type Number of bits (bits) Valid numbers Range of values Float 32 6~7 -3.4*10^38~+3.4*10^38 Double 64 15~16 -1.7*10^-308~1.7*10^308 Long double 128/ 18~19 -1.2*10^-4932~1.2*

of positive is correctly judged, TPR=TPTP+FN Tpr=\frac {TP} {TP+FN}. FPR: In all samples that are actually negative, the ratio of positive is wrongly judged, Fpr=fpfp+tn Fpr=\frac {FP} {fp+tn}. 1.2 Precision, recall and F1 Another common evaluation indicator for two classification problems is the accuracy rate (precision) and recall (recall) and F1 values. The accuracy rate is expressed as the percentage o

This article by Ruby-china a post "by the decimal point of precision problem lead to design problems" lead, the post is also my hair, in view of the reply when learned a lot of content, have a little sentiment, so want to sum up. First declare the programming language selected in this article is Ruby and the operating environment is Ubuntu. In the preparation of finance, E-commerce and other applications, often encounter decimals, decimal multiplica

BC is the abbreviation for binary calculator. The parameters of the bc* function are the operands plus an optional [int scale], such as String Bcadd (String $left _operand, String $right _operand[, int $scale]), assuming scale does not provide , the default value of Bcscale is used. Here the large number is directly represented by a string of 0-9, and the result of the calculation is also a string.Bcadd-adds two high-precision numbersbccomp-two high-

I want to learn about the precision of javascript floating-point numbers, so that you can understand the real precision of JavaScript floating-point numbers, you can refer to the several numeric data types in most programming languages, but JavaScript has only one type. You can use the typeof operator to view the numeric type. JavaScript classifies integers and floating-point numbers as numbers. typeof 1

1. Accuracy rate and Recall rate (Precision Recall) Accuracy and recall rates are two measures widely used in the field of information retrieval and statistical classification to evaluate the quality of the results. The accuracy is to retrieve the number of related documents and the total number of documents retrieved, to measure the precision of the retrieval system; Recall is the ratio of the number of d

BC is the abbreviation for binary calculator. The arguments to the bc* function are the operands plus an optional [int scale], such as String Bcadd (String $left _operand, String $right _operand[, int $scale]), if scale is not provided , the default value of Bcscale is used. Here the large number is directly represented by a string of 0-9, and the result of the calculation is also a string.Bcadd-adds two high-precision numbersBccomp-compares two high-

yu Code Comments Machine learning (ML), Natural language Processing (NLP), Information Retrieval (IR) and other fields, evaluation (Evaluation) is a necessary work, and its evaluation indicators tend to have the following points: accuracy (accuracy), accuracy (Precision), Recall (Recall) and F1-measure. (Note: In contrast, the IR ground truth is often a Ordered List, not a Bool type of Unordered Collection, in the case of all found, ranked third or f