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character constant too long for its type #include <stdio.h> int main() { char *s = 'hello,world\n'; //应该用双引号 return 0; } E:\chen\dream\ex.c||In function 'main':| E:\chen\dream\ex.c|4|warning: character constant too long for its type [enabled by default]| E:\chen\...
ll CRT(ll M){ ll sum=0,tmp,v; for (int i=1;i<=cnt;i++){ tmp=M/m[i]; v=getInv(tmp,m[i]); sum=(sum+tmp*a[i]*v)%M; } return sum; } /*以下是ECRT*/ bool merge(ll &a1,ll &m1,ll a2,ll m2){ ll c,d,x,a3,m3; c=a2-a1;d=__gcd(m1,m2); if (c%d!=0...
* * @param a one of the numbers whose gcd is to be computed * @param b other number whose gcd is to be computed * @return gcd of the two numbers */ public static int gcd(int a, int b) { if (b == 0) { return a; } return gcd(b, a % b); } } Haversine Formula public...
Naive code for our GCD example appears in Figure 1.6, in x86 assembly language. It was generated automatically by a simple pedagogical compiler. Sign in to download full-size image Figure 1.6. Naive x86 assembly language for the GCD program. The assembly language mnemonics may appear a bit ...
insert(a[1],1),(a[1]<=LIM&&(bkt[a[1]]=1)),i=2;i<=n;++i) { for (nw.insert(a[i],1),j=1;j<=lst.cnt;++j) nw.insert(gcd(lst.v[j],a[i]),lst.num[j]); for (j=1;j<=nw.cnt;++j) if (nw.v[j]<=LIM) bkt[nw.v[j]]+=nw.num[j]; for (nw.reunoin(),...
(a, b); } template < typename T > T cmin(T a, T b) { return min(a, b); } template < typename T > T cgcd(T a, T b) { return __gcd(a, b); } template < typename T > T clcm(T a, T b) { return a * b / cgcd(a, b); } } // namespace tools } // ...
(a, b); } template < typename T > T cmin(T a, T b) { return min(a, b); } template < typename T > T cgcd(T a, T b) { return __gcd(a, b); } template < typename T > T clcm(T a, T b) { return a * b / cgcd(a, b); } } // namespace tools } // ...
l,m=map(int,input().split())trees=[1]*(l+1)foriinrange(m):l1,r1=map(int,input().split())forjinrange(l1,r1+1):iftrees[j]==1:trees[j]=0print(trees.count(1)) 动态规划,01背包问题 输入第一行有两个整数T(1 <= T <= 1000)和M(1 <= M <= 100),用一个空格隔开,T代表总共...
In this chapter, we deal with the basic accelerating methods for MATLAB codes in an intrinsic way – a simple code optimization without using GPU or C-MEX. You will learn about the following: • The vectorization for parallel processing. • The preallocation for efficient memory management. ...