問題:算法
Given a circular array (the next element of the last element is the first element of the array), print the Next Greater Number for every element. The Next Greater Number of a number x is the first greater number to its traversing-order next in the array, which means you could search circularly to find its next greater number. If it doesn't exist, output -1 for this number.數組
Example 1:優化
Input: [1,2,1] Output: [2,-1,2] Explanation: The first 1's next greater number is 2; The number 2 can't find next greater number; The second 1's next greater number needs to search circularly, which is also 2.
Note: The length of given array won't exceed 10000.this
解決:spa
① 數組是一個循環數組,就是說某一個元素的下一個較大值能夠在其前面,那麼對於循環數組的遍歷,爲了使下標不超過數組的長度,咱們須要對n取餘。遍歷每個數字,而後對於每個遍歷到的數字,遍歷全部其餘數字,注意不是遍歷到數組末尾,而是經過循環數組遍歷其前一個數字,遇到較大值則存入結果res中,並break,再進行下一個數字的遍歷。ci
class Solution { //214ms
public int[] nextGreaterElements(int[] nums) {
int len = nums.length;
int[] res = new int[len];
Arrays.fill(res,-1);
for (int i = 0;i < nums.length;i ++){
for (int j = i + 1;j < i + len;j ++){
if (nums[j % len] > nums[i]){
res[i] = nums[j % len];
break;
}
}
}
return res;
}
}element
② 使用棧來進行優化上面的算法,咱們遍歷兩倍的數組,而後仍是座標i對n取餘,取出數字,若是此時棧不爲空,且棧頂元素小於當前數字,說明當前數字就是棧頂元素的右邊第一個較大數,那麼創建兩者的映射,而且去除當前棧頂元素,最後若是i小於n,則把i壓入棧。由於res的長度必須是n,超過n的部分咱們只是爲了給以前棧中的數字找較大值,因此不能壓入棧。it
class Solution { //47ms
public int[] nextGreaterElements(int[] nums) {
int len = nums.length;
int[] res = new int[len];
Arrays.fill(res,-1);
Stack<Integer> stack = new Stack<>();
for (int i = 0;i < 2 * len;i ++){
int num = nums[i % len];
while (! stack.isEmpty() && nums[stack.peek()] < num){
res[stack.peek()] = num;
stack.pop();
}
if (i < len) stack.push(i);
}
return res;
}
}io
③ 使用數組實現棧。ast
class Solution {//26ms public int[] nextGreaterElements(int[] nums) { int len = nums.length; int[] res = new int[len]; Arrays.fill(res,-1); int[] stack = new int[2 * nums.length]; int top = -1; for (int i = 0;i < 2 * len;i ++){ int index= i % len; while(top >= 0 && nums[stack[top]] < nums[index]){ res[stack[top --]] = nums[index]; } stack[++ top] = index; } return res; } }