HDU 3711 Binary Number
Binary Number
Time Limit: 4000/2000 MS (Java/Others) Memory Limit: 65536/65536 K (Java/Others)
Total Submission(s): 1879 Accepted Submission(s): 1133
2 non-negative integers x and y, f(x, y) is defined as the number of
different bits in the binary format of x and y. For example, f(2,
3)=1,f(0, 3)=2, f(5, 10)=4. Now given 2 sets of non-negative integers A
and B, for each integer b in B, you should find an integer a in A such
that f(a, b) is minimized. If there are more than one such integer in
set A, choose the smallest one.
first line of the input is an integer T (0 < T ≤ 100), indicating
the number of test cases. The first line of each test case contains 2
positive integers m and n (0 < m, n ≤ 100), indicating the numbers of
integers of the 2 sets A and B, respectively. Then follow (m + n)
lines, each of which contains a non-negative integers no larger than
1000000. The first m lines are the integers in set A and the other n
lines are the integers in set B.
int cal(int x)
{
int cnt = ;
while(x){
++cnt;
x &= (x-);
}
return cnt;
}
这段代码的核心在于每执行一次x &= (x-1),会将x的二进制中最低位的1变为0。
运用这个原理,我们还可以得到判断一个正整数x是否为2的n(n>=0)次幂的方法:如果(x&(x-1)) == 0,则为true;否则为false。
#include <cstdio>
#include <algorithm>
using namespace std; int T;
int m,n;
int A[],b; int cal(int x)
{
int cnt = ;
while(x){
++cnt;
x &= (x-);
}
return cnt;
} int main()
{
scanf("%d",&T);
while(T--){
scanf("%d%d",&m,&n);
for(int i = ; i<m; ++i)
scanf("%d",&A[i]);
sort(A,A+m);
for(int i = ; i<n; ++i){
scanf("%d",&b);
int min_cnt = 0x7fffffff;
int ans;
for(int j = ; j<m; ++j){
int cnt = cal(b^A[j]);
if(cnt<min_cnt){
min_cnt = cnt;
ans = A[j];
}
}
printf("%d\n",ans);
}
}
return ;
}
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