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re: �U�黑树的实现源码(�W�二�ơ修订版)

Apollo Fang — Thu, 19 Apr 2012 02:26:00 GMT

替换数据不是更好?

Apollo Fang 2012-04-19 10:26 发表评论

re: �U�黑树的实现源码(�W�二�ơ修订版)

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re: �U�黑树的实现源码(�W�二�ơ修订版)

Apollo Fang — Wed, 18 Apr 2012 01:19:00 GMT

你现在的实现�q�是有问题吧好好看看

Apollo Fang 2012-04-18 09:19 发表评论

re: �E�序设计�l�验�ȝ��

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re: 二分查找��法(�q�代和递归版本)

莫萧 — Fri, 16 Mar 2012 13:34:00 GMT

上面的“完整代码”部分手误复刉��了。不�q�这�D�代码也是可行的�Q�不是递归而已�?br>本来的完整代码代码：

int search_recurse(int arr[], int low, int high, int key)
{
int mid;

mid = (low + high) / 2;
while (low < high)
{
if (arr[mid] > key)
{
return BinSearch(arr, low, mid, key);
}
else if (arr[mid] < key)
{
return BinSearch(arr, mid + 1, high, key);
}
else
{
return mid;
}
}

return -1;
}

莫萧 2012-03-16 21:34 发表评论

re: 二分查找��法(�q�代和递归版本)

莫萧 — Fri, 16 Mar 2012 13:31:00 GMT

�?int search_recurse(int array[], int low, int high, int v)中的
else if (low == high)
{
if (array[middle] == v)
{
return middle;
}
else
{
return -1;
}

}
else
{
return -1;
}
��L��Q�接着把上面的if (low < high)的if改�ؓwhile�Q�一样可以执行�?br>
完整代码�Q?br>int search_recurse(char *arr,int value,int n)
{
int min = 0; //讄��最��gؓ0
int max = n - 1; //讄��最大��gؓn - 1;
int mid;
int pos = -1; //位置初始化�ؓ-1
while(min < max)
{
mid = min + (max - min)/ 2; //��字�W�串折半
if(arr[mid] > value) //如果中间的值大于要查找的��|��则在��的一半中查找
max = mid - 1;
else if(arr[mid] < value) //如果中间的值小于要查找的�?则在大的一半中查找
min = mid + 1;
else //如果扑ֈ�记录下位�|?br> {
pos = mid;
max = mid - 1; //再在��的一半中�l�箋查找
}
}
if(arr[min] == value) //如果是第一个字�W�等于要查找的��|��C��位置
pos = min;
return pos; //�q�回�?br>}

莫萧 2012-03-16 21:31 发表评论

re: 同步/异步与阻�?非阻塞的区别

unixlover — Sat, 03 Mar 2012 05:11:00 GMT

��g��刚好写反了，呵呵

unixlover 2012-03-03 13:11 发表评论

re: 同步/异步与阻�?非阻塞的区别

unixlover — Sat, 03 Mar 2012 05:09:00 GMT

��g��刚好说反了，呵呵

unixlover 2012-03-03 13:09 发表评论

re: epoll学习�W�记

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re: �U�黑树的实现源码(�W�二�ơ修订版)

re: �U�黑树的实现源码(�W�二�ơ修订版)

re: �U�黑树的实现源码(�W�二�ơ修订版)

re: �E�序设计�l�验�ȝ��

re: 二分查找���法(�q�代和递归版本)

re: 二分查找���法(�q�代和递归版本)

re: 同步/异步与阻�?非阻塞的区别

re: 同步/异步与阻�?非阻塞的区别

re: epoll学习�W�记

re: 二分查找��法(�q�代和递归版本)

re: 二分查找��法(�q�代和递归版本)