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Copy pathfirstPositionOfTarget.js
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54 lines (43 loc) · 1.4 KB
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// 14. First Position of Target
// Description
// For a given sorted array(ascending order) and a target number, find the first index of this number in O(log n) time complexity.
// If the target number does not exist in the array, return -1.
// Example
// Example 1:
// Input: [1, 4, 4, 5, 7, 7, 8, 9, 9, 10],1
// Output: 0
// Explanation:
// the first index of 1 is 0.
// Example 2:
// Input: [1, 2, 3, 3, 4, 5, 10],3
// Output: 2
// Explanation:
// the first index of 3 is 2.
// Example 3:
// Input: [1, 2, 3, 3, 4, 5, 10],6
// Output: -1
// Explanation:
// Not exist 6 in array.
/**
* @param nums: The integer array.
* @param target: Target to find.
* @return: The first position of target. Position starts from 0.
*/
const binarySearch = function (nums, target) {
// write your code here
let start = 0
let end = nums.length - 1
let mid
while (start + 1 < end) {
mid = start + Math.floor((end - start) / 2)
if (nums[mid] == target) end = mid // !
if (nums[mid] < target) start = mid
if (nums[mid] > target) end = mid
}
if (nums[start] == target) return start
if (nums[end] == target) return end
return -1
}
// tip:第一个 或 最后一个 的问题
// 1 while 循环内 当 if (nums[mid] == target) end = mid
// 这里不能直接返回 mid 而是要缩小范围。可能第一刀切到的 mid 就是数组中第二个符合的数。当要求第一个数时,就错了