870:优势洗牌

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huangge1199@hotmail.com 2021-05-10 21:19:47 +08:00
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//给定两个大小相等的数组 A BA 相对于 B 的优势可以用满足 A[i] > B[i] 的索引 i 的数目来描述
//
// 返回 A 的任意排列使其相对于 B 的优势最大化
//
//
//
// 示例 1
//
// 输入A = [2,7,11,15], B = [1,10,4,11]
//输出[2,11,7,15]
//
//
// 示例 2
//
// 输入A = [12,24,8,32], B = [13,25,32,11]
//输出[24,32,8,12]
//
//
//
//
// 提示
//
//
// 1 <= A.length = B.length <= 10000
// 0 <= A[i] <= 10^9
// 0 <= B[i] <= 10^9
//
// Related Topics 贪心算法 数组
// 👍 125 👎 0
package leetcode.editor.cn;
import javafx.util.Pair;
import java.util.*;
//870:优势洗牌
public class AdvantageShuffle {
public static void main(String[] args) {
//测试代码
Solution solution = new AdvantageShuffle().new Solution();
}
//力扣代码
//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
public int[] advantageCount(int[] A, int[] B) {
int length = A.length;
Pair<Integer, Integer>[] pairs = new Pair[length];
for (int i = 0; i < length; i++) {
pairs[i] = new Pair<>(i, B[i]);
}
Arrays.sort(pairs, Comparator.comparingInt(Pair::getValue));
int[] copy = Arrays.copyOf(A, length);
Arrays.sort(copy);
int i = 0, j = 0;
while(i < A.length) {
if(copy[i] > pairs[j].getValue()){
A[pairs[j].getKey()] = copy[i];
i++;
j++;
} else {
A[pairs[(A.length-1) - (i-j)].getKey()] = copy[i];
i++;
}
}
return A;
}
}
//leetcode submit region end(Prohibit modification and deletion)
}

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<p>给定两个大小相等的数组&nbsp;<code>A</code>&nbsp;&nbsp;<code>B</code>A 相对于 B 的<em>优势</em>可以用满足&nbsp;<code>A[i] &gt; B[i]</code>&nbsp;的索引 <code>i</code>&nbsp;的数目来描述。</p>
<p>返回&nbsp;<code>A</code>&nbsp;<strong>任意</strong>排列,使其相对于 <code>B</code>&nbsp;的优势最大化。</p>
<p>&nbsp;</p>
<p><strong>示例 1</strong></p>
<pre><strong>输入:</strong>A = [2,7,11,15], B = [1,10,4,11]
<strong>输出:</strong>[2,11,7,15]
</pre>
<p><strong>示例 2</strong></p>
<pre><strong>输入:</strong>A = [12,24,8,32], B = [13,25,32,11]
<strong>输出:</strong>[24,32,8,12]
</pre>
<p>&nbsp;</p>
<p><strong>提示:</strong></p>
<ol>
<li><code>1 &lt;= A.length = B.length &lt;= 10000</code></li>
<li><code>0 &lt;= A[i] &lt;= 10^9</code></li>
<li><code>0 &lt;= B[i] &lt;= 10^9</code></li>
</ol>
<div><div>Related Topics</div><div><li>贪心算法</li><li>数组</li></div></div>\n<div><li>👍 125</li><li>👎 0</li></div>