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在排序数组中查找元素的第一个和最后一个位置 #89

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xszi opened this issue Feb 20, 2021 · 1 comment
Open

在排序数组中查找元素的第一个和最后一个位置 #89

xszi opened this issue Feb 20, 2021 · 1 comment

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@xszi
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xszi commented Feb 20, 2021

给定一个按照升序排列的整数数组 nums,和一个目标值 target 。找出给定目标值在数组中的开始位置和结束位置。

你的算法时间复杂度必须是O(logn)级别。

如果数组中不存在目标值,返回 [-1, -1]

示例 1:

输入: nums = [5,7,7,8,8,10], target = 8
输出: [3,4]

示例 2:

输入: nums = [5,7,7,8,8,10], target = 6
输出: [-1,-1]

leetcode

@xszi
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xszi commented Feb 24, 2021

  • 方法一:使用 findIndex , findLastIndex

  • 方法二:

var searchRange = function(nums, target) {
  let left = 0, right = nums.length -1
  let start = -1, end = -1
  while(left <= right) {
      if(nums[left] < target) left++
      // 找到第一个出现的位置,赋值给start
      if(nums[left] === target && start === -1) start = left++
      if(nums[right] > target) right--
      // 找到最后一个出现的位置,赋值给end
      if(nums[right] === target && end === -1) end = right--
      if(start > -1 && end > -1) break
  }
  return [start, end]
};
  • 方法三:二分查找
let searchRange = function(nums, target) {
    return [leftSearch(nums, target), rightSearch(nums, target)]
}

let leftSearch = function(nums, target) {
    let low = 0, 
        high = nums.length - 1,
        mid
    while (low <= high) {
        mid = Math.floor((low+high)/2)
        if (nums[mid] < target) {
            low = mid + 1
        } else if (nums[mid] > target) {
            high = mid - 1
        } else if (nums[mid] === target) {
            // 这里不返回,继续收缩左侧边界
            high = mid - 1
        }
    }
    // 最后检查 low 是否越界或命中
    if (low >= nums.length || nums[low] != target)
        return -1
    return low
}


let rightSearch = function (nums, target) {
    let low = 0, 
        high = nums.length - 1,
        mid
    while (low <= high) {
        mid = Math.floor((low+high)/2)
        if (nums[mid] < target) {
            low = mid + 1
        } else if (nums[mid] > target) {
            high = mid - 1
        } else if (nums[mid] === target) {
            // 这里不返回,继续收缩右侧边界
            low = mid + 1
        }
    }
    // 最后检查 high 是否越界或命中
    if (high < 0 || nums[high] != target)
        return -1
    return high
}

复杂度分析:

  • 时间复杂度:O(logn)
  • 空间复杂度:O(1)

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