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#2
zwcwu2011-01-07 23:13
1、二叉树
template<class T> struct TreeNode { T data; TreeNode<T> *left, *right; }; template<class T> class BinaryTree { public: BinaryTree(){ root = NULL; } BinaryTree(const TreeNode<T>& tree); ~BinaryTree(){ destroy(root); } bool IsEmpty() const { return root==NULL; } void PreOrder(){ PreOrder(root); } void InOrder(){ InOrder(root); } void PostOrder(){ PostOrder(root); } void LevelOrder(); int Height() { return Height(root); } //二叉树高度 int Leaf() { return Leaf(root); } //叶子结点数 int Size() { return Size(root); } //结点数 void Create(T x) { Create(root, x); } //建立二叉树 BinaryTree<T>& operator=(const BinaryTree<T>&); private: TreeNode<T> *root; void PreOrder(TreeNode<T> *t); void InOrder(TreeNode<T> *t); void PostOrder(TreeNode<T> *t); void destroy(TreeNode<T> *t); int Height(TreeNode<T> *t); int Leaf(TreeNode<T> *t); int Size(TreeNode<T> *t); void Create(TreeNode<T>* &t, T x); void copyTree(TreeNode<T>* &t, TreeNode<T>* t1); }; template <class T> BinaryTree<T>::BinaryTree(const TreeNode<T>& tree) { if(tree.root == NULL) root = NULL; else copyTree(root, tree.root); } template<class T> void BinaryTree<T>::PreOrder(TreeNode<T> *t) { if(t) { cout<<t->data<<" "; PreOrder(t->left); PreOrder(t->right); } } template<class T> void BinaryTree<T>::InOrder(TreeNode<T> *t) { if(t) { InOrder(t->left); cout<<t->data<<" "; InOrder(t->right); } } template<class T> void BinaryTree<T>::PostOrder(TreeNode<T> *t) { if(t) { PostOrder(t->left); PostOrder(t->right); cout<<t->data<<" "; } } template<class T> void BinaryTree<T>::destroy(TreeNode<T> *t) { if(t) { destroy(t->left); destroy(t->right); delete t; } } template<class T> int BinaryTree<T>::Height(TreeNode<T> *t) { if(t==NULL) return 0; int l = Height(t->left); int r = Height(t->right); return l>r ? l+1 : r+1; } template<class T> int BinaryTree<T>::Leaf(TreeNode<T> *t) { if(t==NULL) return 0; if(t->left==NULL && t->right==NULL) return 1; return Leaf(t->left) + Leaf(t->right); } template<class T> int BinaryTree<T>::Size(TreeNode<T> *t) { if(t==NULL) return 0; else return Size(t->left) + Size(t->right) +1; } template<class T> void BinaryTree<T>::Create(TreeNode<T>* &t, T x) { // 以先序序列输入各结点的数据，某结点的左子树或右子树为空时输入一个特定的值x。 T d; cin >> d; if (d == x) t=NULL; else { t = new TreeNode<T> ; t->data = d; Create(t->left, x); Create(t->right, x); } } template<class T> void BinaryTree<T>::LevelOrder() { Queue<TreeNode<T>*> q; TreeNode<T> *p; if(root==NULL) return; q.Add(root); while(!q.IsEmpty()) { q.Delete(p); cout << p->data; if(p->left) q.Add(p->left); if(p->right) q.Add(p->right); } } 前序、中序、后序的非递归算法 template<class T> void BinaryTree<T>::PreOrder() { if(root==NULL) return; SeqStack<TreeNode<T>*> stack; TreeNode<T> *p = root; while(p || !stack.IsEmpty()) { while(p) { cout << p->data << " "; stack.Push(p); p = p->left; } stack.Pop(p); p = p->right; } } //上面while循环也可写为如下形式： /* while(p || !stack.IsEmpty()) if(p) { cout << p->data << " "; stack.Push(p); p = p->left; } else { stack.Pop(p); p = p->right; } } //*/ template<class T> void BinaryTree<T>::InOrder() { if(root==NULL) return; SeqStack<TreeNode<T>*> stack; TreeNode<T> *p = root; while(p || !stack.IsEmpty()) { while(p) { stack.Push(p); p = p->left; } stack.Pop(p); cout << p->data << " "; p = p->right; } } template<class T> void BinaryTree<T>::PostOrder() { if(root==NULL) return; SeqStack<TreeNode<T>*> s1; SeqStack<int> s2; int f; TreeNode<T> *p = root; while(p || !s1.IsEmpty()) { while(p) { s1.Push(p); s2.Push(1); p = p->left; } s1.Pop(p); s2.Pop(f); if(f==1) { s1.Push(p); s2.Push(2); p = p->right; } else { cout << p->data << " "; p = NULL; } } } template <class T> void BinaryTree<T>::copyTree(TreeNode<T>* &t, TreeNode<T>* t1) { if(t1 == NULL) t = NULL; else { t = new TreeNode<T>; t->data = t1->data; copyTree(t->left, t1->left); copyTree(t->right, t1->right); } } template<class T> BinaryTree<T>& BinaryTree<T>::operator=(const BinaryTree<T>& tree) { if(this != &tree) { if(root != NULL) destroy(root); if(tree.root == NULL) root = NULL; else copyTree(root, tree.root); } return *this; } 2、堆 template<class T>class MaxHeap { private: T *heap; int MaxSize; int size; void FilterUp(int i); void FilterDown(int i); public: MaxHeap(int heapSize = 10); MaxHeap(T arr[],int n); ~MaxHeap(){ delete[]heap; } void Insert(const T &item); T Delete(); T GetHeapTop()const{ return heap[0];} int HeapSize()const{ return size;} int HeapEmpty()const{ return size==0;} int HeapFull()const{ return MaxSize==size;} }; template<class T> MaxHeap<T>::MaxHeap(int heapSize) { if(heapSize<=0) { cerr<<"参数错误"<<endl; exit(1); } MaxSize = heapSize; heap=new T[MaxSize]; size=0; } template<class T> void MaxHeap<T>::FilterUp(int i) { int current = i, parent = (i-1)/2; T target=heap[i]; while(currentPos!=0 && target>heap[parentPos]) { heap[current] = heap[parent]; current = parent; parent = (current-1)/2; } heap[current] = target; } template <class T> void MaxHeap<T>::Insert(const T &x) { if(size==MaxSize) { cerr<<"堆已满!"<<endl; exit(1); } heap[size] = x; FilterUp(size); size++; } template<class T> void MaxHeap<T>::FilterDown(int i) { int current= i, child = 2*i+1; T target = heap[i]; while( child < size ) { if( (child+1<size) && (heap[child+1] > heap[child]) ) child++; if( target>=heap[child] ) break; else { heap[current] = heap[child]; current = child; child = 2*current + 1; } } heap[current] = target; } template<class T> T MaxHeap<T>::Delete() { if(size==0) { cerr<<"堆空!"<<endl; exit(1); } T temp = heap[0]; heap[0] = heap[size-1]; size--; FilterDown(0); return temp; } template<class T> MaxHeap<T>::MaxHeap(T arr[],int n) { MaxSize = n; size = n; heap = arr; int current = (n-2)/2; while(current >= 0) { FilterDown(current); current--; } } |
我要构建一棵树，大约有100+的分组，总够有7000个模型。遍历模型构建树时效率特别慢，求一个优化算法。
源代码大意：
for(i=0;i<组数;i++)
{
//获取组内物体个数
for(j=0;j<组内物体个数；j++)
{
//增加树节点
}
}
怎么优化能提高效率？？？
