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acm:a^b%p-number theory-fast power-fast multiplication

A^b Time Limit: 1000MS Memory Limit: 65535KB 64bit IO Format: DescriptionAsk for A's B-square, modulo mod (1InputMultiple sets of inputs, one row per set of data, 3 positive integers, respectively a,b,modOutputOne row for each set of data output, for the answerSample Input2 10 100000005 100 10 2 37Sample Output102400Template problem, mainly considering the 1e18 of the huge, ordinary fast power will expl

"Chinese remainder theorem" "Tolerant principle" "fast multiplication" "Number theory" HDU 5768 Lucky7

Topic Links:http://acm.hdu.edu.cn/showproblem.php?pid=5768Main Topic :T set of data, the l~r satisfies: 1. is a multiple of 7, 2. The number of%pi!=ai for n primes.Topic Ideas:"Chinese remainder theorem" "Tolerant principle" "fast multiplication" "Number theory" Because they are prime numbers, they are 22 of each other, satisfying the conditions of the Chinese remainder theorem.The 7 is added to the prime n

Fast number theory Transformation (NTT)

Today's a question, bare ntt, but I will not, so White sent 50 points.So he came to learn about NTT.The surface is very simple, do not bother to post, that is not the point I want to say.The emphasis is on NTT, also called the Fast number theory transformation.In many problems, we may encounter the polynomial multiplication problem in the mode meaning, when the traditional

HDU 2256 Problem of Precision theory matrix fast Power

]=1; for(; k; k >>=1) { if(k1) C =Multiply (c,a); A=Multiply (a,a); } returnC;}voidInitmat (Mat A) {a.mat[0][0]=Ten; a.mat[0][1]=-1; a.mat[1][0]=1; a.mat[1][1]=0;}intMain () {//freopen ("In.txt", "R", stdin); intT; scanf ("%d",t); while(t--) { intN; scanf ("%d",N); if(n==1) printf ("9\n"); Else if(n==2) printf ("97\n"); Else{Initmat (a); A=quickpower (a,n-2); intAns= (a.mat[0][0]*98+a.mat[0][1]*Ten-1)%1024x768;//we're asking for s[n]-1. while(ans0) ans+=10

Bzoj 3992 Sdoi2015 Sequence Statistics fast number theory transformation

Question: given n (nFind the root, take an indicator of each element in the S set, and then generate the generating function f (x)So the answer is (f (x)) ^n (mod x^ (m-1), mod 1004535809)On the NTT with a polynomial quick power to do it.#include Bzoj 3992 Sdoi2015 Sequence Statistics fast number theory transformation

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

[HDOJ1492] Happy 2004 (number theory, fast power, inverse, integrable function)

) __builtin_popcount (x) +typedefLong LongLL; -typedefLong DoubleLD; $typedef unsignedLong LongULL; $typedef pairint,int>PII; -typedef pairstring,int>psi; -typedef pairint,int>PLL; thetypedef mapstring,int>MSI; -typedef vectorint>VI;Wuyitypedef vectorint>VL; thetypedef vectorVVL; -typedef vectorBOOL>vb; Wu - ConstLL mod = in; About LL N; $ - ll Mul (ll X, ll Q) { -LL ret =1; - while(q) { A if(Q 1) ret = (ret * x)%MoD; +Q >>=1; thex = (x * x)%MoD; - } $ returnret; the } the

Fast number theory Transformation Template (NTT)

The principle of rapid number theory change (NTT) is actually the same principle as the fast Fourier transform. For the Fermat prime of a shape such as m= c*2^n+1, it is assumed that its original root is G. So deceive g^ (m-1) ==1 and just (m-1) can divide 2^n. So the NTT transform can be performed in the modulo p field. The rotation factor is g^ ((m-1)/n). The other principles are the same as the FFT princ

[Lintcode] Fast Power (number theory)

Calculates a^n% B, where a, B and N are all 32-bit integers.Fast power is over. Fast power the first thing is to know(a*b)%c = ((a%c) *b)%c, so deduced.(a^n)%b = (((((((((a%b) *a)%b) *a) ...%b) *a)%b (n times)This can only solve the a^n beyond the computer count range, the complexity is still not lowered.What about ^O^,BIT-MANIPULATION!!!!!!Detailed details of self-Baidu ^_^ (using two points of thought)Code:classSolution {/** @param A, B, n:32bit int

hdu-5698 instantaneous movement (number theory + fast power)

Topic Links:Move instantlyproblem DescriptionThere is an infinitely large rectangle, initially when you are in the upper left corner (i.e. the first row of the first column), each time you can select a lower right lattice, and teleport past (such as the red lattice from which can be directly teleport to the blue lattice), the firstnN rows of M-m columns have several schemes, the answer to the 1000000007 modulo . InputMultiple sets of test data.Two integers n,m (2OutputAn integer representing t

BZOJ 3992 Sdoi2015 sequential statistics fast number theory transformation, bzoj3992

BZOJ 3992 Sdoi2015 sequential statistics fast number theory transformation, bzoj3992 Given n (n Evaluate the original root, obtain the index for each element in the S set, and then generate the f (x) function) The answer is (f (x) ^ n (mod x ^ m-1), mod 1004535809) NTT just needs to use a polynomial to quickly create a power. #include

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