while(i+1 < j)模板不可用的情形
标准while(left + 1 < right)的模板
没有
if (nums[mid]==target)
的early return只有if () else ()两种情况,绝对的二分条件
没有if() else if () else ()的3分或者更多的情况,这也是为什么median of 2 sorted arrays不能用这个模板的原因
//pre-processinng
...
left = 0, right = len - 1;
while (left + 1 < right) {
mid = left + (right - left) / 2;
if (nums[mid] <target) {
left = mid;
} else {
right = mid;
}
}
...
//left + 1 == right
//2 more candidates
//post-processing
while (left + 1 < right)不可用的情形
发现的规律:
这些题目都是运用了binary search的思想,但不是直接能从nums[left], nums[right]里找到result如果是纯 binary search的题目, 的确while(left + 1 < right)更无脑,不会写出bug
median of two sorted array
Koko Eating bananas
Find the smallest divisor Given a Threshold
Leetcode总结的binary search3种模板
while (left + 1 < right) 可用的前提:最终结果一定在nums[left] or nums[right]中间
如果第1条不能满足,可以考虑while(left <=right)的模板
//pre-processinng
...
left = 0, right = len - 1;
while (left <= right) {
mid = left + (right - left) / 2;
if (nums[mid]==target) {
return mid;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
right = mid - 1;
}
}
...
//right + 1 == left
//No more candidates
Search Insert Position
一道简单的binary search来体会 while (left + 1 < right)的标准模板和改进模板的区别
//标准while (left + 1 < right)模板
public int searchInsert(int[] nums, int target) {
int begin = 0, end = nums.length - 1;
if (nums[end] < target) return end + 1; //edge case[1,3,5,6] 7
while (begin + 1 < end) {
int mid = begin + (end - begin) / 2;
if (nums[mid] <= target) {
begin = mid;
} else {
end = mid;
}
}
if (nums[begin] >= target) return begin;
return end;
}
//改进
public int searchInsert(int[] nums, int target) {
int begin = 0, end = nums.length - 1;
if (nums[end] < target) return end + 1; //edge case[1,3,5,6] 7
while (begin + 1 < end) {
int mid = begin + (end - begin) / 2;
if (nums[mid] == target) {
return mid;
} else if (nums[mid] < target) {
begin = mid;
} else {
end = mid;
}
}
if (nums[begin] >= target) return begin;
return end;
}
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