树结构及其算法-用链表来实现二叉树

目录

树结构及其算法-用链表来实现二叉树

C++代码

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树结构及其算法-用链表来实现二叉树

以链表实现二叉树就是使用链表来存储二叉树，也就是运用动态分配内存和指针的方式来建立二叉树。

使用链表来表示二叉树的好处是节点的增加与删除操作相当容易，缺点是很难找到父节点，除非在每一个节点多增加一个指向父节点的指针。

struct TreeNode {
	int data;
	TreeNode* leftNode;
	TreeNode* rightNode;

	TreeNode(int tempData, TreeNode* tempLeftNode = nullptr, TreeNode* tempRightNode = nullptr) {
		this->data = tempData;
		this->leftNode = tempLeftNode;
		this->rightNode = tempRightNode;
	}
};

C++代码

#include
using namespace std;

struct TreeNode {
	int data;
	TreeNode* leftNode;
	TreeNode* rightNode;
	TreeNode(int tempData, TreeNode* tempLeftNode = nullptr, TreeNode* tempRightNode = nullptr) {
		this->data = tempData;
		this->leftNode = tempLeftNode;
		this->rightNode = tempRightNode;
	}
};

class Tree {
private:
	TreeNode* treeNode;
public:
	Tree() {
		treeNode = nullptr;
	}
	TreeNode* GetTreeNode() {
		return this->treeNode;
	}
	void AddNodeToTree(int* tempData, int tempSize) {
		for (int i = 0; i < tempSize; i++) {
			TreeNode* currentNode;
			TreeNode* newNode;
			int flag = 0;
			newNode = new TreeNode(tempData[i]);
			if (treeNode == nullptr)
				treeNode = newNode;
			else {
				currentNode = treeNode;
				while (!flag) {
					if (tempData[i] < currentNode->data) {
						if (currentNode->leftNode == nullptr) {
							currentNode->leftNode = newNode;
							flag = 1;
						}
						else
							currentNode = currentNode->leftNode;
					}
					else {
						if (currentNode->rightNode == nullptr) {
							currentNode->rightNode = newNode;
							flag = 1;
						}
						else
							currentNode = currentNode->rightNode;
					}
				}
			}
		}
		cout << "完成建立二叉树" << endl;
	}
	void Inorder(TreeNode* tempTree) {
		if (tempTree != nullptr) {
			Inorder(tempTree->leftNode);
			cout << tempTree->data << " ";
			Inorder(tempTree->rightNode);
		}
	}
};

int main() {
	int data[]{ 6, 3, 5, 9, 7, 8, 4, 2 };
	cout << "原始数据：" << endl;
	for (int i = 0; i < 8; i++)
		cout << data[i] << " ";
	cout << endl;

	Tree* tree = new Tree;
	tree->AddNodeToTree(data, 8);
	tree->Inorder(tree->GetTreeNode());
	return 0;
}

输出结果