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hello-algo/codes/c/chapter_heap/top_k.c

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1.8 KiB

/**
* File: top_k.c
* Created Time: 2023-10-26
* Author: Krahets (krahets163.com)
*/
#include "my_heap.c"
/* 元素入堆 */
void pushMinHeap(MaxHeap *maxHeap, int val) {
// 元素取反
push(maxHeap, -val);
}
/* 元素出堆 */
int popMinHeap(MaxHeap *maxHeap) {
// 元素取反
return -pop(maxHeap);
}
/* 访问堆顶元素 */
int peekMinHeap(MaxHeap *maxHeap) {
// 元素取反
return -peek(maxHeap);
}
/* 取出堆中元素 */
int *getMinHeap(MaxHeap *maxHeap) {
// 将堆中所有元素取反并存入 res 数组
int *res = (int *)malloc(maxHeap->size * sizeof(int));
for (int i = 0; i < maxHeap->size; i++) {
res[i] = -maxHeap->data[i];
}
return res;
}
// 基于堆查找数组中最大的 k 个元素的函数
int *topKHeap(int *nums, int sizeNums, int k) {
// 初始化小顶堆
// 请注意:我们将堆中所有元素取反,从而用大顶堆来模拟小顶堆
int *empty = (int *)malloc(0);
MaxHeap *maxHeap = newMaxHeap(empty, 0);
// 将数组的前 k 个元素入堆
for (int i = 0; i < k; i++) {
pushMinHeap(maxHeap, nums[i]);
}
// 从第 k+1 个元素开始,保持堆的长度为 k
for (int i = k; i < sizeNums; i++) {
// 若当前元素大于堆顶元素,则将堆顶元素出堆、当前元素入堆
if (nums[i] > peekMinHeap(maxHeap)) {
popMinHeap(maxHeap);
pushMinHeap(maxHeap, nums[i]);
}
}
int *res = getMinHeap(maxHeap);
// 释放内存
delMaxHeap(maxHeap);
return res;
}
/* Driver Code */
int main() {
int nums[] = {1, 7, 6, 3, 2};
int k = 3;
int sizeNums = sizeof(nums) / sizeof(nums[0]);
int *res = topKHeap(nums, sizeNums, k);
printf("最大的 %d 个元素为: ", k);
printArray(res, k);
free(res);
return 0;
}