DescriptionStripping divided by high-precision
InputEach set of test data stack 2 rows, each row represents a high precision integer (no more than 100 bits)
OutputEach set of test data output accounted for 2 rows, respectively, the output quotient and the remainder.
Sample Input1405
Sample Output280
Ideas:Division is analog subtraction.First, the maximum multiplier (represented by 10^k) that can be subtract
Simulates vertical division operations.
VaR S: string; B, M, Len, I, n: longint; A, C: array [1 .. 1000] of integer; begin readln (s); readln (B); Len: = length (s); for I: = 1 to Len do a [I]: = ord (s [Len-I + 1])-48; M: = 0; for I: = Len downto 1 do begin C [I]: = (M * 10 + A [I]) Div B; // record operator M: = (M * 10 + A [I]) mod B; // calculates the remainder end; while (LEN> 0) and (C [Len] = 0) Do Dec (LEN); // remove the first 0 if Len = 0 then write (0) else for I: = Len downt
Float-precision output and floating-point-precision output
The settings related to the output in C ++ are included in the header file "iomanip". First, let's take a look at some functions contained in it:
To retain the N digits after the decimal point and output the result in rounding, setprecision and fixed are required.
// Eg: calculate the area of the circle whose radius is r; output: retain the sev
Along with the online flow dividend slowly over, merchants especially offline businesses to get online traffic costs in the gradual increase in the line of traffic to rob become a business chasing another hot spot. Whether it is a small program of two-dimensional code, WiFi, ibeacon are trying to connect the line, but how to let offline services and customers to establish a relationship between.
The essence of the offline scene
The precision value of a floating-point number in PHP is used to control the output of the floating-point number. Can be understood as the control of the output of the number of digits, the difference in precision, see the output may also be different, note: its internal or in accordance with the actual value of storage, when two floating-point number for arithmetic, with its original value.
PHP's configur
Recently, at the 2016 Intel Life Science Information Technology Forum, a bio-computing accelerator platform called GTX one emerged, sparking new insights into the industry's precision healthcare industry. The GTX one acceleration system, which maximizes the computational power of the FPGA through algorithmic innovation, is equivalent to compressing a supercomputer into a small box, and an FPGA accelerator card can achieve the computational performance
15 Quiz for Professional testers to uncover the veil of "precision testing"What is precision testing? is software testing necessary to achieve accuracy? Does the accuracy increase the cost of testing? How does precision testing affect ordinary test engineers and even the testing industry? Let's take this series of questions to focus on the 15 questions and answer
In the x86/x64 system, because the x87 FPU hardware uses the extended double precision format, it is bound to encounter the interchange between the Single/double precision format and the double extended-precision format. convert to Extended double precision number
When converted from a single-
are geese.
Suppose your classification system uses the above assumptions to identify four results, as shown in the following illustration:
So in the four images identified:True Positives: There are three planes that draw the green box.False Positives: There is a, painted red box of wild Goose.
Not identified in the six photos:True Negatives: There are four pictures of these four wild geese, and the system correctly does not recognize them as airplanes.False Negatives: There are two, two planes
because the computer operation is a modulo operation, the representation of the data range is limited, such as int (c + + in the same int and long) expression range ( -2^31~2^31-1), unsigned long (unsigned integer) is (0~2^32-1), are about billions of. If a real type is used, the largest double can be saved to provide only a valid number of 15~16 bits, that is, only the number of trillions can be accurately expressed. Therefore, when the number of digits exceeding more than 10 bits is calculated
This article to give you a brief introduction of the PHP floating point precision value of the instance program, I hope there is a need to understand the accuracy of floating point number of friends can enter the reference.
The precision value of floating-point numbers in PHP is used to control the output of the floating-point number, can be understood as the control of the output of bits, the accuracy of d
The FLOAT type is used to indicate the approximate numeric data type. The SQL standard allows you to specify the precision (but not the exponential range) with bits in parentheses after the keyword FLOAT ). MySQL also supports optional specifications that are only used to determine the storage size. The precision between 0 and 23 corresponds to the 4-byte single precisi
From: http://blog.csdn.net/walkingman321/article/details/6151172
This article introduces the difference between setting the hrtimer in high precision mode and setting the hrtimer in linux2.6.29. This article does not consider the impact of high-precision mode on clock interruption in Linux.
When the high-precision mode is not configured, The hrtimer timeout is c
In recent several posts, and QQ group discussion inside, I found that many users have encountered the problem is due to improper use of single-precision/double-precision values. So I want to talk about this topic specifically.Single-and double-precision numeric types first appear in the C language (in a more general language), and the single-
Floating point numbers are the ones with decimals, and they are not just numbers. when I use the payment interface, I have encountered the problem of floating point loss. let's take a look at the solution. let's take a look at the following code: $ f0.57; e... floating point numbers are the ones with decimals, and they are not just numbers. when I use the payment interface, I have encountered the problem of floating point loss. let's take a look at the solution.
Let's take a look at the followi
The following is a brief list of common recommended system metrics:
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 precisio
.
The binary representation of 0.57 is basically (52 bits) is: 0010001111010111000010100011110101110000101000111101
If only 52 digits, 0.57 = "0.56999999999999995"
It is not difficult to see the unexpected results above, and then add the example
There are a number of ways, here are two:
1. sprintf
substr (sprintf ("%.10f", ($a/$b)), 0,-7);2. Round (note will be rounded)
Round ($a/$b, 3);
I have always understood the accuracy of the decimal point after the retention of how much, then in t
Let's look at two questions:
0.1 + 0.2 = 0.3; False9999999999999999 = 10000000000000000; True
The first problem is the problem of decimal precision, which has been discussed in many blogs in the industry. The second problem is that last year, the company had a system of databases in the data revisions, found that some of the strange phenomenon of duplication of data. This article will start from the specification, to the above question to make a sum
Https://www.cnblogs.com/herbert/p/3402245.htmlBasisThe floating-point number is represented by the machine's double-precision (a-bit) of the floating-point number. provides approximately 17 bits of precision and ranges from 308 to 308 of the exponent. Same as the double type in the C language. Python does not support a single-precision floating-point number of 32
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