检查是否阵是对称的 [英] Checking if array is symmetric
问题描述
public class symm
{
/*
* Returns true if array A is symmetric.
* Returns false otherwise.
* n is the number of elements A contains.
*
* The running time of your algorithm is O( ).
* You may add a brief explanation here if you wish.
*/
public static boolean symmetric( int[] A, int n )
{
return symmHelper(A, n, 0);
}
private static boolean symmHelper(int[] A, int n, int i) {
if(n==1)
return true;
if((n==2) && (A[i] == A[n-1-i]))
return true;
if((i == n-1-i) && (A[i] == A[n-1-i] ))
return true;
if(A[i] == A[n-1-i] && i < n/2 )
return symmHelper(A, n, i+1);
return false;
}
}
测试情况:
我通过了所有测试ecxept的fitst上我没有得到任何每当我运行它,我认为这个问题是有在中间的两个2S。我真的不知道有关code,我觉得它可以简化。
是运行时间为O(log n)的?
Test cases: I passed all the tests ecxept the fitst on I get no whenever I run it, I think the problem is that there are two 2s in the middle. And I'm not really sure about the code, I think it can be simplified. Is the running time o(log n)?
5 8 2 2 8 5
YES
5 8 2 2 8 5 YES
10 7 50 16 20 16 50 7 10
YES
10 7 50 16 20 16 50 7 10 YES
5 8 5
YES
5 8 5 YES
1000 1000
YES
1000 1000 YES
6000
YES
6000 YES
10 7 50 16 20 16 50 7 1000
NO
10 7 50 16 20 16 50 7 1000 NO
10 7 50 16 20 16 50 10 700
NO
10 7 50 16 20 16 50 700 10 NO
10 7 50 16 20 16 5000 7 10
NO
10 7 50 16 20 16 5000 7 10 NO
10 7 50 16 20 50 1600 10 7
NO
10 7 50 16 20 1600 50 7 10 NO
10 7 50 16 50 1600 10 7
NO
10 7 50 16 1600 50 7 10 NO
推荐答案
复杂code使得更多的错误。因此,简化它。此外,寻找不平等,而非平等;它更容易检查一个错误比一切是正确的。
Complex code makes for more mistakes. Thus, simplify it. Also, look for inequalities rather than equalities; it's easier to check for one mistake than for everything to be correct.
// A = array, n = size of array, i = looking at now
private static boolean symmHelper(int[] A, int n, int i) {
if (i > n/2) // If we're more than halfway without returning false yet, we win
return true;
else if (A[i] != A[n-1-i]) // If these two don't match, we lose
return false;
else // If neither of those are the case, try again
return symmHelper(A, n, i+1);
}
如果我记得我的O()符号的权利,我想这应该是为O(n + 1)。还有其他的东东可以到此去除+1,但它会令code运行速度较慢的整体。
If I remember my O() notation right, I think this should be O(n+1). There are other tweaks you can make to this to remove the +1, but it'll make the code run slower overall.
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