precision 5520

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Hdu1134 game of connections high precision + dp

Problem address: http://acm.hdu.edu.cn/showproblem.php? PID = 1, 1134 [Idea] DP state transition: DP [I] = sum (DP [J] * DP [i-1-j]) [0 Add high-precision multiplication and addition. 【Code] Code crashes again = It seems that you have to prepare a high-precision template! # Include

High-Precision computing

// High-precision addition # include // High-precision subtraction # include

PHP Bcmul High-precision computing

echo Bcmul (' 1/100 ', ' 69.45 '); The third parameter is not set at this time, the number of bits is returned according to the configured value, and the value of Bcmath.scale under Bcmath in Phpinfo can be viewed or bcscale (int value) Uniformly set the number of digits returned in a high-precision calculation in a project;This article is from the "7804265" blog, please be sure to keep this source http://7814265.blog.51cto.com/7804265/1772159PHP Bcmu

JavaScript (JS) decimal precision lost solution

Reason: JS in accordance with 2 binary to deal with decimal subtraction, on the basis of arg1 arg2 precision extension or inverse extension matching, so the following situation occurs.JavaScript (JS) decimal point subtraction problem, is a JS bug such as 0.3*1 = 0.2999999999, the following list can be perfect to find the corresponding accuracy of four JS algorithm functionAccdiv (arg1,arg2) {varT1=0,t2=0, R1,R2; Try{t1=arg1.tostring (). Split (".") [1

Bipartite + high precision -- Poj 2109 Power of Cryptography (reason why the double open n method passes)

", pow (p, 1/n ));}Return 0;} First, the data strength in the question is not weak, which is indeed as stated in the question: "For all such pairs 1 When it is stored in a double variable4357186184021382204544And then output the following information:4357186184021382000000The value of the last six digits is changed to 0, which is quite different from that of the int variable. That is to say, when the value stored in the double type variable exceeds its preci

Hdu 4382 analog matrix concatenation precision

There are two containers C1 and C2. Initially, C1 has a number of values of V, giving you K operations. Each time we repeat these K operations N times, finally, we will ask you what the number is in C2.N 1: The number of loop operations is huge. It is a question of matrix concatenation.2: K operations can generate a matrix. n k operations are the N power of the matrix.3: multiply it by the initial matrix.It is not difficult to construct the matrix, that is, if else writes for half a day.Finally,

C language Atof () function: Converts a string to a double (dual-precision floating-point number)

Header files: #include The function atof () is used to convert a string to a double-precision floating-point number (double) whose prototype is:Double atof (const char* str);The name of Atof () is derived from the abbreviation of the ASCII to floating point numbers, which scans the parameter str string, skips the preceding whitespace characters (such as spaces, tab indents, etc., which can be detected by the Isspace () function), The conversion is not

On the arithmetic precision of double type in Java

product of two parameters*/public static double Mul (Double v1,double v2) {BigDecimal B1 = new BigDecimal (double.tostring (v1));BigDecimal b2 = new BigDecimal (double.tostring (v2));Return b1.multiply (B2). Doublevalue ();}/*** Provide (relative) accurate division operation, when the occurrence of an endless situation, accurate to* After the decimal point 10 digits, the later numbers are rounded.* @param v1 Dividend* @param v2 Divisor* @return two parameters of the quotient*/public static doub

HDU 2256 Problem of Precision number theory matrix fast power, hdu2256

HDU 2256 Problem of Precision number theory matrix fast power, hdu2256 You must obtain the integer (√ 2 + √ 3) of 2n and then mod 1024. (√ 2 + √ 3) 2n = (5 + 2 √ 6) n If the value is calculated directly, double is used to store the value. When n is large, the loss of precision will increase and the expected result cannot be obtained. We found that (5 + 2 √ 6) n + (5-2 √ 6) n is an integer (the even power o

Cattleya number High precision algorithm

Many combination problems will be used to Cattleya number, the growth rate is fast, should write a high-precision respect for a bit ~1#include 2#include 3#include 4 #defineML 5495 using namespacestd;6 intkt[ the][550];7 intlen[ the];8 intGetlen (intOrd)9 {Ten intpos; one for(inti=ml;i>=0; i--) a if(kt[ord][i]!=0) - { -pos=i; the break; - } - returnpos+1; - } + voidMutintOrd) - { + for(intI=0; i1];

HDU 4382 analog matrix concatenation precision

Link: http://acm.hdu.edu.cn/showproblem.php? PID = 1, 4382 There are two containers C1 and C2. Initially, C1 has a number of values of V, giving you k operations. Each time we repeat these K operations n times, finally, we will ask you what the number is in C2. N 1: The number of loop operations is huge. It is a question of matrix concatenation. 2: K operations can generate a matrix. n k operations are the N power of the matrix. 3: multiply it by the initial matrix. It is not difficult to const

HDU 6206 Apple (high-precision && computational Geometry && Three-point construction Circle for center radius)

fourth point and the distance between the center and the denominator is also 2 (BC-AD), so the process of operation is not to divide operations, as long as the comparison of two molecules can be, high-precision problems can only be solved with BigInteger.ImportJava.util.Scanner;ImportJava.util.*;Importjava.math.*;ImportJava.io.*;classpo{BigInteger x, y;} Public classmain{ Public Static BooleanSolve (po p1, po p2, PO P3, po p) {//---------------------

YK-JJW (JSW) series precision purifying AC stabilized voltage power supply

YK-JJW (JSW) Series Product OverviewYK-JJW Series single-phase precision AC power supply, using the International Advanced Sine Energy Distribution program Power Regulation technology, represents the latest development level of AC voltage regulator technology. The circuit consists of sinusoidal energy distribution and high-power filter. It has the advantages of high overload capacity, good reliability, strong anti-jamming ability, high efficiency, lon

JavaScript (JS) decimal precision lost solution

Reason: JS in accordance with 2 binary to deal with decimal subtraction, on the basis of arg1 arg2 precision extension or inverse extension matching, so the following situation occurs.JavaScript (JS) decimal point subtraction problem, is a JS bug such as 0.3*1 = 0.2999999999, the following list can be perfect to find the corresponding accuracy of four JS algorithm function Accdiv (arg1,arg2) {var t1=0,t2=0,r1,r2; Try{t1=arg1.tostring (). Split (".")

"Go" Java precision arithmetic

/*** Because Java's simple type does not accurately operate on floating-point numbers, this tool class provides accurate floating-point arithmetic, including subtraction and rounding. */ Public classArith {//Default division operation Precision Private Static Final intDef_div_scale = 10;//This class cannot be instantiated PrivateArith () {}/*** provides accurate addition operations. * * @paramv1 * Summand *@paramv2 * Addend *@returntwo para

Design and implementation of large integer class Bign C + + high-precision templates

First of all, thank Rujia for the "Algorithmic Competition Primer".As we all know, the unsigned long long in C + + has an upper limit, and if we want to calculate very large integers, we are overwhelmed, so I wrote a high-precision class that allows large integers to arithmeticThis class uses strings for input and output, and uses arrays for storage and processing, and by simulating arithmetic, the subtraction ratio of large integers can be computed.S

Java High-precision learning second Play--n!

Continue to learn Java high-precision, today is written to seek n!.First, attach the source code:  ImportJava.util.Scanner;ImportJava.math.BigInteger; Public classMain { Public Static voidMain (String []args) {Scanner cin=NewScanner (system.in); BigInteger A,n,i; while(Cin.hasnext ()) {a=Cin.nextbiginteger (); N=Biginteger.one; for(I=biginteger.one; I.compareto (a) I.add (Biginteger.one)) n=n.multiply (i); SYSTEM.OUT.PRINTLN (n); }

On the arithmetic precision of double type in Java

(Double.tostring (v2)); returnb1.subtract (B2). Doublevalue (); }/*** provides accurate multiplication operations. *@paramv1 by multiplier *@paramV2 Multiplier *@returnproduct of two parameters*/ PublicStaticDoubleMulDoubleV1,Doublev2) {BigDecimal B1=NewBigDecimal (double.tostring (v1)); BigDecimal B2=NewBigDecimal (Double.tostring (v2)); returnb1.multiply (B2). Doublevalue (); }/*** Provide (relative) accurate division operations, when there are no more than an endless situation, accurate to *

Excel2010 Tutorial quickly set data precision

Take a look at what has changed in the next place. 1, open the Excel worksheet, click the "File" button 2, open the left list of the interface click "Options" 3, pop-up Excel Options window, click the Advanced tab 4, on the right window to navigate to the calculation of this workbook options, check the "Set precision to lock display precision" checkbox 5,

Solving the problem of JS digital calculation precision

1Add (A, b) {//Add2 varC, D, E;3 Try {4c = a.tostring (). Split (".") [1].length;5}Catch(f) {6c = 0;7 }8 Try {9D = b.tostring (). Split (".") [1].length;Ten}Catch(f) { Oned = 0; A } - returnE = Math.pow (ten, Math.max (c, D)), ( This. Mul (A, E) + This. Mul (b, E))/e; - }, theSub (A, b) {//Subtract - varC, D, E; - Try { -c = a.tostring (). Split (".") [1].length; +}Catch(f) { -c = 0; + } A Try { atD

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