#include <iostream>
const int DEFAULT_SIZE = 20;
template<typename T>
class MinHeap {
public:
MinHeap(int sz = DEFAULT_SIZE);
MinHeap(T arr[], int n);
~MinHeap() { delete[] heap; }
bool insert(const T& x) const;
bool remove_min(T& x);
bool is_full() const { return currentsize == maxsize; }
bool is_empty() const { return currentsize == 0; }
void make_empty() { currentsize = 0; }
private:
T *heap;
int currentsize;
int maxsize;
void sift_down(int start, int m);
void sift_up(int start);
};
template<typename T>
MinHeap<T>::MinHeap(int sz) {
maxsize = (DEFAULT_SIZE < sz) ? sz: DEFAULT_SIZE;
heap = new T[maxsize];
if (!heap) {
std::cerr << "memory alloc error !" << std::endl;
exit(1);
}
}
template<typename T>
MinHeap<T>::MinHeap(T arr[], int n) {
maxsize = (DEFAULT_SIZE < n) ? n: DEFAULT_SIZE;
heap = new T[maxsize];
if (!heap) {
std::cerr << "memory alloc error !" << std::endl;
exit(1);
}
for (int i = 0; i < n; i++)
heap[i] = arr[i];
currentsize = n;
int currentpos = (currentsize - 2) / 2; // pos need to adjust
while (currentpos >= 0) {
sift_down(currentpos, currentsize - 1);
currentpos--;
}
}
template<typename T>
void MinHeap<T>::sift_down(int start, int m) {
int i = start;
int j = i * 2 + 1;
T temp = heap[i];
while (j <= m) {
if (j < m && heap[j] > heap[j + 1])
j++;
if (temp <= heap[j])
break;
else {
heap[i] = heap[j];
i = j;
j = 2 * j + 1;
}
}
heap[i] = temp;
}
template<typename T>
void MinHeap<T>::sift_up(int start) {
int j = start;
int i = (j - 1) / 2;
T temp = heap[j];
while (j > 0) {
if (heap[i] <= temp)
break;
else {
heap[j] = heap[i];
j = i;
i = (i - 1) / 2;
}
}
heap[j] = temp;
}
template<typename T>
bool MinHeap<T>::insert(const T& x) {
if (currentsize == maxsize) {
std::cerr << "heap full !" << std::endl;
return false;
}
heap[currentsize] = x;
sift_up(currentsize);
currentsize++;
return true;
}
template<typename T>
bool MinHeap<T>::remove_min(T& x) {
if (!currentsize) {
std::cout << "heap empty !" << std::endl;
return false;
}
x = heap[0];
heap[0] = heap[currentsize - 1];
currentsize--;
sift_down(0, currentsize - 1);
return true;
}
MinHeap
最新推荐文章于 2024-11-08 13:43:29 发布