977. Squares of a sorted Array
Given an integer array nums
sorted in non-decreasing order, return an array of the squares of each number sorted in non-decreasing order.
Example 1:
Input: nums = [-4,-1,0,3,10]
Output: [0,1,9,16,100]
Explanation: After squaring, the array becomes [16,1,0,9,100].
After sorting, it becomes [0,1,9,16,100].
Example 2:
Input: nums = [-7,-3,2,3,11]
Output: [4,9,9,49,121]
Constraints:
1 <= nums.length <= 104
104 <= nums[i] <= 104
nums
is sorted in non-decreasing order.
暴力解法
每个数平方之后,再排个序
Time Complexity: O(n + nlogn)
Two Pointers
数组其实是有序的, 只不过负数平方之后可能成为最大数了。
那么数组平方的最大值就在数组的两端,不是最左边就是最右边,不可能是中间。
i指向起始位置,j指向终止位置。
定义一个新数组result,和A数组一样的大小,让k指向result数组终止位置。
- 如果A[i] * A[i] < A[j] * A[j] 那么result[k--] = A[j] * A[j]; 。
- 如果A[i] * A[i] >= A[j] * A[j] 那么result[k--] = A[i] * A[i]; 。
class Solution {
public int[] sortedSquares(int[] nums) {
int right = nums.length - 1;
int left = 0;
int[] result = new int[nums.length];
int index = result.length - 1;
while (left <= right) {
if (nums[left] * nums[left] > nums[right] * nums[right]) {
// 正数的相对位置是不变的, 需要调整的是负数平方后的相对位置
result[index--] = nums[left] * nums[left];
++left;
} else {
result[index--] = nums[right] * nums[right];
--right;
}
}
return result;
}
}
Time Complexity: O(n)
Space Complexity: O(n)
For Future References
题目链接:https://leetcode.cn/problems/squares-of-a-sorted-array/
文章讲解:https://programmercarl.com/0977.有序数组的平方.html
视频讲解: https://www.bilibili.com/video/BV1QB4y1D7ep
209. Minimum size Subarray Sum
Given an array of positive integers nums
and a positive integer target
, return the minimal length of a contiguous subarray [numsl, numsl+1, ..., numsr-1, numsr]
of which the sum is greater than or equal to target
. If there is no such subarray, return 0
instead.
Example 1:
Input: target = 7, nums = [2,3,1,2,4,3]
Output: 2
Explanation: The subarray [4,3] has the minimal length under the problem constraint.
Example 2:
Input: target = 4, nums = [1,4,4]
Output: 1
Example 3:
Input: target = 11, nums = [1,1,1,1,1,1,1,1]
Output: 0
Constraints:
1 <= target <= 109
1 <= nums.length <= 105
1 <= nums[i] <= 104
暴力解法
两个for循环,然后不断的寻找符合条件的子序列
Time Complexity:O(n^2)
Space Complexity:O(1)
Sliding Window
所谓滑动窗口,就是不断的调节子序列的起始位置和终止位置,从而得出我们要想的结果。
实现滑动窗口,主要确定如下三点:
- 窗口内是什么?
- 如何移动窗口的起始位置?
- 如何移动窗口的结束位置?
窗口就是 满足其和 ≥ s 的长度最小的 连续 子数组。
窗口的起始位置如何移动:如果当前窗口的值大于s了,窗口就要向前移动了(也就是该缩小了)。
窗口的结束位置如何移动:窗口的结束位置就是遍历数组的指针,也就是for循环里的索引。
class Solution {
public int minSubArrayLen(int s, int[] nums) {
int left = 0;
int sum = 0;
int result = Integer.MAX_VALUE;
for (int right = 0; right < nums.length; right++) {
sum += nums[right];
while (sum >= s) {
result = Math.min(result, right - left + 1);
sum -= nums[left++];
}
}
return result == Integer.MAX_VALUE ? 0 : result;
}
}
Time Complexity:O(n)
Space Complexity:O(1)
For Future References
题目链接:https://leetcode.cn/problems/minimum-size-subarray-sum/
文章讲解:https://programmercarl.com/0209.长度最小的子数组.html
视频讲解:https://www.bilibili.com/video/BV1tZ4y1q7XE
Related Leetcode #: 904, 76
59. Spiral Matrix II
Given a positive integer n
, generate an n x n
matrix
filled with elements from 1
to n2
in spiral order.
Example 1:
Input: n = 3
Output: [[1,2,3],[8,9,4],[7,6,5]]
Example 2:
Input: n = 1
Output: [[1]]
Constraints:
1 <= n <= 20
模拟顺时针画矩阵的过程:
- 填充上行从左到右
- 填充右列从上到下
- 填充下行从右到左
- 填充左列从下到上
每条边左闭右开的原则, 由外向内一圈一圈这么画下去。
class Solution {
public int[][] generateMatrix(int n) {
int loop = 0; // 控制循环次数
int[][] res = new int[n][n];
int start = 0; // 每次循环的开始点(start, start)
int count = 1; // 定义填充数字
int i, j;
while (loop++ < n / 2) { // 判断边界后,loop从1开始
// 模拟上侧从左到右
for (j = start; j < n - loop; j++) {
res[start][j] = count++;
}
// 模拟右侧从上到下
for (i = start; i < n - loop; i++) {
res[i][j] = count++;
}
// 模拟下侧从右到左
for (; j >= loop; j--) {
res[i][j] = count++;
}
// 模拟左侧从下到上
for (; i >= loop; i--) {
res[i][j] = count++;
}
start++;
}
if (n % 2 == 1) {
res[start][start] = count;
}
return res;
}
}
Time Complexity: O()
Space Complexity: O()
题目链接:https://leetcode.cn/problems/spiral-matrix-ii/
文章讲解:https://programmercarl.com/0059.螺旋矩阵II.html
视频讲解:https://www.bilibili.com/video/BV1SL4y1N7mV/
Related Leetcode #: 54, 剑指Offer 29
Summary of Array
- Binary Search
- Two Pointers
- Sliding Window
- Boundary Conditions