目录
238. 除自身以外数组的乘积 Product of Array Except Self 🌟🌟
240. 搜索二维矩阵 II Search A 2d Matrix ii 🌟🌟
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238. 除自身以外数组的乘积 Product of Array Except Self
给你一个整数数组 nums
,返回 数组 answer
,其中 answer[i]
等于 nums
中除 nums[i]
之外其余各元素的乘积 。
题目数据 保证 数组 nums
之中任意元素的全部前缀元素和后缀的乘积都在 32 位 整数范围内。
请不要使用除法,且在 O(n)
时间复杂度内完成此题。
示例 1:
输入: nums = [1,2,3,4] 输出: [24,12,8,6]
示例 2:
输入: nums = [-1,1,0,-3,3] 输出: [0,0,9,0,0]
提示:
2 <= nums.length <= 10^5
-30 <= nums[i] <= 30
- 保证 数组
nums
之中任意元素的全部前缀元素和后缀的乘积都在 32 位 整数范围内
进阶:你可以在 O(1)
的额外空间复杂度内完成这个题目吗?( 出于对空间复杂度分析的目的,输出数组不被视为额外空间。)
代码1: 暴力循环
package mainimport "fmt"func productExceptSelf(nums []int) []int {n := len(nums)ans := make([]int, n)for i := 0; i < n; i++ {ans[i] = 1for j := 0; j < n; j++ {if j != i {ans[i] *= nums[j]}}}return ans
}func main() {nums := []int{1,2,3,4}fmt.Println(productExceptSelf(nums))nums = []int{-1,1,0,-3,3}fmt.Println(productExceptSelf(nums))
}
代码2: 前缀积和后缀积
package mainimport "fmt"func productExceptSelf(nums []int) []int {n := len(nums)prefix := make([]int, n)suffix := make([]int, n)ans := make([]int, n)prefix[0] = 1for i := 1; i < n; i++ {prefix[i] = prefix[i-1] * nums[i-1]}suffix[n-1] = 1for i := n - 2; i >= 0; i-- {suffix[i] = suffix[i+1] * nums[i+1]}for i := 0; i < n; i++ {ans[i] = prefix[i] * suffix[i]}return ans
}func main() {nums := []int{1, 2, 3, 4}fmt.Println(productExceptSelf(nums))nums = []int{-1, 1, 0, -3, 3}fmt.Println(productExceptSelf(nums))
}
代码3: 优化掉前缀数据的空间
package mainimport "fmt"func productExceptSelf(nums []int) []int {n := len(nums)ans := make([]int, n)ans[0] = 1for i := 1; i < n; i++ {ans[i] = ans[i-1] * nums[i-1]}suffix := 1for i := n-1; i >= 0; i-- {ans[i] *= suffixsuffix *= nums[i]}return ans
}func main() {nums := []int{1, 2, 3, 4}fmt.Println(productExceptSelf(nums))nums = []int{-1, 1, 0, -3, 3}fmt.Println(productExceptSelf(nums))
}
输出:
[24 12 8 6]
[0 0 9 0 0]
240. 搜索二维矩阵 II Search A 2d Matrix ii
编写一个高效的算法来搜索 m x n
矩阵 matrix
中的一个目标值 target
。该矩阵具有以下特性:
- 每行的元素从左到右升序排列。
- 每列的元素从上到下升序排列。
示例 1:
输入:matrix = [[1,4,7,11,15],[2,5,8,12,19],[3,6,9,16,22],[10,13,14,17,24],[18,21,23,26,30]], target = 5 输出:true
示例 2:
输入:matrix = [[1,4,7,11,15],[2,5,8,12,19],[3,6,9,16,22],[10,13,14,17,24],[18,21,23,26,30]], target = 20 输出:false
提示:
m == matrix.length
n == matrix[i].length
1 <= n, m <= 300
-10^9 <= matrix[i][j] <= 10^9
- 每行的所有元素从左到右升序排列
- 每列的所有元素从上到下升序排列
-10^9 <= target <= 10^9
相关题目:
74. 搜索二维矩阵 Search A 2d-Matrix 🌟🌟
代码1: 暴力法
package mainimport "fmt"func searchMatrix(matrix [][]int, target int) bool {m := len(matrix)n := len(matrix[0])for i := 0; i < m; i++ {for j := 0; j < n; j++ {if matrix[i][j] == target {return true}}}return false
}func main() {matrix := [][]int{{1, 4, 7, 11, 15},{2, 5, 8, 12, 19},{3, 6, 9, 16, 22},{10, 13, 14, 17, 24},{18, 21, 23, 26, 30}}fmt.Println(searchMatrix(matrix, 5))fmt.Println(searchMatrix(matrix, 20))
}
代码2: 缩小搜索范围
package mainimport "fmt"func searchMatrix(matrix [][]int, target int) bool {m := len(matrix)n := len(matrix[0])i, j := 0, n-1for i < m && j >= 0 {if matrix[i][j] == target {return true} else if matrix[i][j] < target {i++} else {j--}}return false
}func main() {matrix := [][]int{{1, 4, 7, 11, 15},{2, 5, 8, 12, 19},{3, 6, 9, 16, 22},{10, 13, 14, 17, 24},{18, 21, 23, 26, 30}}fmt.Println(searchMatrix(matrix, 5))fmt.Println(searchMatrix(matrix, 20))
}
代码3: 二分查找
package mainimport "fmt"func searchMatrix(matrix [][]int, target int) bool {m, n := len(matrix), len(matrix[0])if m == 0 || n == 0 {return false}left, right := 0, m*n-1for left <= right {mid := left + (right-left)/2row, col := mid/n, mid%nif matrix[row][col] == target {return true} else if matrix[row][col] < target {left = mid + 1} else {right = mid - 1}}return false
}func main() {matrix := [][]int{{1, 4, 7, 11, 15},{2, 5, 8, 12, 19},{3, 6, 9, 16, 22},{10, 13, 14, 17, 24},{18, 21, 23, 26, 30}}fmt.Println(searchMatrix(matrix, 5))fmt.Println(searchMatrix(matrix, 20))
}
输出:
true
false
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