• 0034-leetcode算法实现之查找元素位置-find-first-and-last-position-of-element-in-sorted-array-python&golang实现


    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。

    如果数组中不存在目标值 target,返回 [-1, -1]。

    进阶:

    你可以设计并实现时间复杂度为 O(log n) 的算法解决此问题吗?

    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]

    示例 3:

    输入:nums = [], target = 0
    输出:[-1,-1]

    来源:力扣(LeetCode)
    链接:https://leetcode-cn.com/problems/find-first-and-last-position-of-element-in-sorted-array

    python

    class Solution:
        def searchRange(self, nums: [int], target: int) -> [int]:
            # 二分法,时间O(logn), 空间O(1)
            def search(nums: [int], target: int) -> int:
                left, right = 0, len(nums)
                while left < right:
                    mid = int((left+right)/2)
                    if nums[mid] >= target:
                        right = mid
                    else:
                        left = mid + 1
                return left
    
            # 找到第一个=target的位置
            leftIdx = search(nums, target)
            # 找到第一个 > target的位置
            rightIdx = search(nums, target+1)
            if leftIdx == len(nums) or nums[leftIdx] != target:
                return [-1, -1]
            return [leftIdx, rightIdx-1]
    
        def searchRange1(self, nums, target):
            """
            暴力遍历法, 时间O(n)
            :param nums:
            :param target:
            :return:
            """
            record = list()
            for i in range(len(nums)):
                if nums[i] == target:
                    record.append(i)
            if len(record) > 1:
                firstIdx = record[0]
                lastIdx = record[-1]
            else:
                return [-1, -1]
            return [firstIdx, lastIdx]
    
    
    if __name__ == "__main__":
        nums1 = [1,3]
        target1 = 2
        nums2 = [1,3,3,3,3,3,3,3,5,5,6]
        target2 = 5
        test = Solution()
        print(test.searchRange(nums1,target1)) # [-1, -1]
        print(test.searchRange(nums2,target2)) # [8, 9]
        print(test.searchRange1(nums2,target2)) # [8, 9]
        print(test.searchRange1(nums1,target1)) # [-1, -1]
    

    golang

    package main
    
    import "fmt"
    
    func main() {
    	var nums = []int{1, 3, 3, 3, 3, 3, 3, 3, 5, 5, 6}
    	var target int = 5
    	res := searchRange(nums, target)
    	fmt.Println(res)
    	res1 := searchRange1(nums, target)
    	fmt.Println(res1)
    }
    // 二分法,时间O(logn), 空间O(1)
    func searchRange(nums []int, target int) []int {
    	//第一个=target的位置
    	leftIdx := search(nums, target)
    	rightIdx := search(nums, target+1)
    
    	if leftIdx == len(nums) || nums[leftIdx] != target {
    		return []int{-1, -1}
    	}
    	return []int{leftIdx, rightIdx - 1}
    }
    
    func search(nums []int, target int) int {
    	var left int = 0
    	var right int = len(nums)
    	for left < right {
    		var mid int = (left + right) / 2
    		if nums[mid] >= target {
    			right = mid
    		} else {
    			left = mid + 1
    		}
    	}
    	return left
    }
    
    // 暴力法, 时间O(n),空间有限变量
    func searchRange1(nums []int, target int) []int {
    	var firstIdx int
    	var lastIdx int
    	var record = []int{}
    	for i, _ := range nums {
    		if nums[i] == target {
    			record = append(record, i)
    		}
    	}
    	if len(record) > 1 {
    		firstIdx = record[0]
    		lastIdx = record[len(record)-1]
    	} else {
    		return []int{-1, -1}
    	}
    	return []int{firstIdx, lastIdx}
    }
    
    
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  • 原文地址:https://www.cnblogs.com/davis12/p/15404634.html
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