如果从远处看,从树中删除节点非常复杂。删除节点时需要考虑3种情况。这些在以下功能的注释中提到。正如我们之前所做的那样,我们将在类中创建一个方法和一个递归调用的助手。
deleteNode(key) { //如果成功删除节点,将收到参考。 return !(deleteNodeHelper(this.root, key) === false); }
/** * Takes root and key and recursively searches for the key. * If it finds the key, there could be 3 cases: * * 1. This node is a leaf node. * * Example: Removing F * A * / \ * B C * / / \ * D E F * * To remove it, we can simply remove its parent's connection to it. * * A * / \ * B C * / / * D E * * 2. This node is in between the tree somewhere with one child. * * Example: Removing B * A * / \ * B C * / / \ * D E F * * To remove it, we can simply make the child node replace the parent node in the above connection * A * / \ * D C * / \ * E F * * 3. This node has both children. This is a tricky case. * * Example: Removing C * * A * / \ * B C * / / \ * D E F * / / \ * G H I * * In this case, we need to find either a successor or a predecessor of the node and replace this node with * that. For example, If we go with the successor, its successor will be the element just greater than it, * ie, the min element in the right subtree. So after deletion, the tree would look like: * * A * / \ * B H * / / \ * D E F * / \ * G I * * To remove this element, we need to find the parent of the successor, break their link, make successor's left * and right point to current node's left and right. The easier way is to just replace the data from node to be * deleted with successor and delete the sucessor. */ function deleteNodeHelper(root, key) { if (root === null) { //空树返回false; } if (key < root.data) { root.left = deleteNodeHelper(root.left, key); return root; } else if (key > root.data) { root.right = deleteNodeHelper(root.right, key); return root; } else { //没有孩子 //情况1-叶子节点 if (root.left === null && root.right === null) { root = null; return root; } //独生子女案件 if (root.left === null) return root.right; if (root.right === null) return root.left; //两个孩子,所以需要找到继任者 let currNode = root.right; while (currNode.left !== null) { currNode = currNode.left; } root.data = currNode.data; //从右子树中删除该值。 root.right = deleteNodeHelper(root.right, currNode.data); return root; } }
您可以使用以下方式进行测试:
let BST = new BinarySearchTree(); BST.insertRec(10); BST.insertRec(15); BST.insertRec(5); BST.insertRec(50); BST.insertRec(3); BST.insertRec(7); BST.insertRec(12); BST.inOrder(); BST.deleteNode(15); BST.deleteNode(10); BST.deleteNode(3); BST.inOrder();
输出结果
这将给出输出-
5 7 12 50