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_321_CreateMaximumNumber.java
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package leetcode_1To300;
/**
* 本代码来自 Cspiration,由 @Cspiration 提供
* 题目来源:http://leetcode.com
* - Cspiration 致力于在 CS 领域内帮助中国人找到工作,让更多海外国人受益
* - 现有课程:Leetcode Java 版本视频讲解(1-900题)(上)(中)(下)三部
* - 算法基础知识(上)(下)两部;题型技巧讲解(上)(下)两部
* - 节省刷题时间,效率提高2-3倍,初学者轻松一天10题,入门者轻松一天20题
* - 讲师:Edward Shi
* - 官方网站:https://cspiration.com
* - 版权所有,转发请注明出处
*/
public class _321_CreateMaximumNumber {
/**
* 321. Create Maximum Number
* Given two arrays of length m and n with digits 0-9 representing two numbers.
* Create the maximum number of length k <= m + n from digits of the two.
* The relative order of the digits from the same array must be preserved.
* Return an array of the k digits. You should try to optimize your time and space complexity.
Example 1:
nums1 = [3, 4, 6, 5] 1 2
nums2 = [9, 1, 2, 5, 8, 3] 4 3
k = 5
return [9, 8, 6, 5, 3]
Example 2:
nums1 = [6, 7]
nums2 = [6, 0, 4]
k = 5
return [6, 7, 6, 0, 4]
Example 3:
nums1 = [3, 9]
nums2 = [8, 9]
k = 3
return [9, 8, 9]
1:从nums1里取i个元素组成最大数组,从nums2里取k-i个元素组成最大数组。
2:合并之前结果,得到一个长度为k的最大数组。
3:对于不同长度分配的情况,比较每次得到的长度为k的最大数组,返回最大的一个。
Reference : https://segmentfault.com/a/1190000007655603
time : O((m+n)^3) 不确定
space : O(k)
[2,3,1]
[2,3]
* @param nums1
* @param nums2
* @param k
* @return
*/
public int[] maxNumber(int[] nums1, int[] nums2, int k) {
int m = nums1.length;
int n = nums2.length;
int[] res = new int[k];
for (int i = Math.max(0, k - n); i <= k && i <= m; i++) {
int[] temp = merge(maxArray(nums1, i), maxArray(nums2, k - i), k);
if (greater(temp, 0, res, 0)) {
res = temp;
}
}
return res;
}
private int[] merge(int[] nums1, int[] nums2, int k) {
int[] res = new int[k];
for (int i = 0, j = 0, r = 0; r < k; r++) {
res[r] = greater(nums1, i, nums2, j) ? nums1[i++] : nums2[j++];
}
return res;
}
private boolean greater(int[] nums1, int i, int[] nums2, int j) {
while (i < nums1.length && j < nums2.length && nums1[i] == nums2[j]) {
i++;
j++;
}
return j == nums2.length || (i < nums1.length && nums1[i] > nums2[j]);
}
private int[] maxArray(int[] nums, int k) {
int n = nums.length;
int[] res = new int[k];
for (int i = 0, j = 0; i < n; i++) {
while (n - i > k - j && j > 0 && nums[i] > res[j - 1]) {
j--;
}
if (j < k) {
res[j++] = nums[i];
}
}
return res;
}
}