Recently I reviewed the classic heapsort algorithm and implement it according to contents in Introduction to Algorithms (3rd edition). The heap data structure is implemented as a template class and the heapsort algorithm is implemented as a public method of the template class. The code is as follows.
1 #include <iostream> 2 #include <vector> 3 4 using namespace std; 5 6 template<typename T> class Heap { 7 public: 8 Heap(vector<T>&); 9 ~Heap(void); 10 11 inline int parent(int); 12 inline int left(int); 13 inline int right(int); 14 15 void max_heapify(int); 16 void build_max_heap(void); 17 void heap_sort(void); 18 19 /* Methods for maximum priority queue. */ 20 T maximum(void); 21 T extract_max(void); 22 void increase_key(int, T); 23 void insert_key(T); 24 25 void print(void); 26 private: 27 vector<T> data; 28 int heap_size; 29 }; 30 31 template<typename T> Heap<T>::Heap(vector<T>& d) { 32 data = d; 33 build_max_heap(); 34 } 35 36 template<typename T> Heap<T>::~Heap(void) { 37 data.clear(); 38 heap_size = 0; 39 } 40 41 template<typename T> inline int Heap<T>::parent(int idx) { 42 return (idx - 1) >> 1; 43 } 44 45 template<typename T> inline int Heap<T>::left(int idx) { 46 return (idx << 1) + 1; 47 } 48 49 template<typename T> inline int Heap<T>::right(int idx) { 50 return (idx << 1) + 2; 51 } 52 53 template<typename T> void Heap<T>::max_heapify(int idx) { 54 int largest = idx; 55 int l = left(idx); 56 int r = right(idx); 57 if (l < heap_size && data[l] > data[largest]) largest = l; 58 if (r < heap_size && data[r] > data[largest]) largest = r; 59 if (largest != idx) { 60 swap(data[idx], data[largest]); 61 max_heapify(largest); 62 } 63 } 64 65 template<typename T> void Heap<T>::build_max_heap(void) { 66 heap_size = data.size(); 67 for (int i = (heap_size >> 1) - 1; i >= 0; i--) 68 max_heapify(i); 69 } 70 71 template<typename T> void Heap<T>::heap_sort(void) { 72 int size = heap_size - 1; 73 for (int i = size; i > 0; i--) { 74 swap(data[i], data[0]); 75 heap_size--; 76 max_heapify(0); 77 } 78 } 79 80 template<typename T> T Heap<T>::maximum(void) { 81 return data[0]; 82 } 83 84 template<typename T> T Heap<T>::extract_max(void) { 85 if (data.empty()) throw runtime_error("Heap underflow!"); 86 int maximum = data[0]; 87 swap(data[0], data[heap_size - 1]); 88 heap_size--; 89 max_heapify(0); 90 return maximum; 91 } 92 93 template<typename T> void Heap<T>::increase_key(int idx, T key) { 94 if (key < data[idx]) { 95 cerr << "New key is smaller!" << endl; 96 return; 97 } 98 data[idx] = key; 99 while (idx >= 0 && parent(idx) >= 0 && data[parent(idx)] < data[idx]) { 100 swap(data[idx], data[parent(idx)]); 101 idx = parent(idx); 102 } 103 } 104 105 template<typename T> void Heap<T>::insert_key(T key) { 106 data.insert(data.begin() + heap_size, key - 1); 107 heap_size++; 108 increase_key(heap_size - 1, key); 109 } 110 111 template<typename T> void Heap<T>::print(void) { 112 printf("In heap: "); 113 for (int i = 0; i < heap_size; i++) 114 printf("%d ", data[i]); 115 printf(", "); 116 if (heap_size < (int)data.size()) { 117 printf("Out of heap: "); 118 for (int i = heap_size; i < (int)data.size(); i++) 119 printf("%d ", data[i]); 120 } 121 printf("\n"); 122 } 123 124 void heap_test(void) { 125 int num[] = {4, 1, 3, 2, 16, 9, 10, 14, 8, 7}; 126 vector<int> nums(num, num + sizeof(num) / sizeof(int)); 127 // Construct a heap and print it 128 Heap<int> heap(nums); 129 heap.print(); 130 // Test maximum() and extract_max() 131 printf("%d\n", heap.maximum()); 132 printf("%d\n", heap.extract_max()); 133 heap.print(); 134 // Test increase_key() 135 heap.increase_key(3, 5); 136 heap.print(); 137 // Test insert_key() 138 heap.insert_key(20); 139 heap.print(); 140 // Test heap_sort() 141 heap.heap_sort(); 142 heap.print(); 143 } 144 145 int main(void) { 146 heap_test(); 147 system("pause"); 148 return 0; 149 }
If you run this code, the expected output is like (I am testing it in Microsoft Visual Studio Professional 2012):
In heap: 16 14 10 8 7 9 3 2 4 1 , 16 16 In heap: 14 8 10 4 7 9 3 2 1 , Out of heap: 16 In heap: 14 8 10 5 7 9 3 2 1 , Out of heap: 16 In heap: 20 14 10 5 8 9 3 2 1 7 , Out of heap: 16 In heap: 1 , Out of heap: 2 3 5 7 8 9 10 14 20 16
Welcome for any question, comment and suggestion about the code!