transplant - 腾讯云开发者社区 - 腾讯云

开发者社区

文档建议反馈控制台

文章/答案/技术大牛

发布

【重学数据结构】二叉搜索树 Binary Search Tree

调用 transplant(delNode, delNode.right)，即 transplant(5, null)。...在 transplant 中，delNode 的父节点 (10) 的左孩子 (left) 被设置为 null。删除完成。...执行逻辑: transplant(15, 5) 被调用，节点 10 的右孩子指针直接指向了节点 5，同时更新了节点 5 的父指针。...我们调用 transplant(miniNode, miniNode.right)，即 transplant(25, null)，将 25 原来的父节点 (30) 的左孩子指向 25 的右孩子 (null...第 4 步: 将后继节点换到待删位置 (第二次 transplant) 调用 transplant(delNode, miniNode)，即 transplant(20, 25)。

1561 0

Binary Search Trees(BST)

): if node.left == None: # 如果node.right 是None 相当于把要删的节点直接置成None,否则后继者一定是第一个right值 return self.transplant...(node,node.right) elif node.right == None: # node.left 一定存在，只需要替换节点之间的指针 return self.transplant(...= node.right: # 最小的左边的值一定不存在 self.transplant(successor,successor.right) # right有变化 successor.right...= node.right # 修改原来节点的父节点 node.right 一定存在 successor.right.parent = successor self.transplant...node.left # 修改原子节点的父节点 node.left一定存在 successor.left.parent = successor return node 复制代码指针变换关系为 def transplant

4643 0

您找到你想要的搜索结果了吗？

是的

没有找到

原数据结构-红黑树(Red-Black

Traversal : O(n) * Search / Find / Insert / Delete / Minimum / Maximum : O(h) * Transplant...void RB_Insert_FixUp(TreeNode *z); void RB_Delete_FixUp(TreeNode *z); void Transplant(TreeNode...} else { y->parent->right = x; } x->right = y; y->parent = x; } /** * Transplant... the subtree u with the subtree v */ void Red_Black_Tree::Transplant(TreeNode * u, TreeNode * v) { ...(z,z->right); } else if(z->right == NIL) { x = z->left; Transplant(z,z->left

7439 0

高性能红黑二叉树实现

= nullptr) { successor = traverse->right; successor->black = originalColor; transplant...= nullptr) { successor = traverse->left; successor->black = originalColor; transplant...= traverse) { if (temp->right) { transplant(temp, temp->right);...temp->right = traverse->right; temp->right->parent = temp; } transplant...= leftNode; } template void RBTree::transplant

9125 0

算法导论第十二章二叉搜索树

delete_node, delete_node->m_pRight); 20 else if (delete_node->m_pRight == NULL) 21 _Delete_Transplant...= delete_node) { 25 _Delete_Transplant(min_node, min_node->m_pRight); 26 min_node...31 min_node->m_pLeft->m_pParent = min_node; 32 } 33} 34 35void BinarySearchTree::_Delete_Transplant...} 33private: 34 //@brief 真正的删除操作 35 void _DeleteNode(_Node *delete_node); 36 void _Delete_Transplant...= delete_node) { 148 _Delete_Transplant(min_node, min_node->m_pRight); 149 min_node

4732 0

算法导论第十二章二叉搜索树

(delete_node, delete_node->m_pRight); else if (delete_node->m_pRight == NULL) _Delete_Transplant...= delete_node) { _Delete_Transplant(min_node, min_node->m_pRight); min_node->...->m_pLeft; min_node->m_pLeft->m_pParent = min_node; } } void BinarySearchTree::_Delete_Transplant...(delete_node, delete_node->m_pRight); else if (delete_node->m_pRight == NULL) _Delete_Transplant...= delete_node) { _Delete_Transplant(min_node, min_node->m_pRight); min_node->

71810 0

原数据结构-二叉搜索树(Binary S

Search / Find / Insert / Delete / Successor / Predecessor / Minimum / Maximum : O(h) * Transplant...<<endl; return false; } if(z->left == nullptr) { Transplant(z, z->right)...; } else if(z->right == nullptr) { Transplant(z, z->left); } else { ...= z) { Transplant(y, y->right); y->right = z->right; y->right...->parent = y; } Transplant(z, y); y->left = z->left; y->left->parent

7727 0

AVL树探秘

node = NULL; 34 } 35 36 void _DeleteNode( AVLNode *delete_node ); 37 void _Delete_Transplant...DeleteNode( AVLNode *delete_node ) 82 { 83 if ( delete_node->Left == NULL ) 84 _Delete_Transplant...delete_node, delete_node->Right ); 85 else if ( delete_node->Right == NULL ) 86 _Delete_Transplant...= delete_node ) { 90 _Delete_Transplant( min_node, min_node->Right ); 91 min_node...delete_node->Right; 92 min_node->Right->Parent = min_node; 93 } 94 _Delete_Transplant

1.1K10 0

《Java 数据结构与算法》第8章：树（BST）

delNode == null) return null; Node result = null; if (delNode.left == null) { result = transplant...(delNode, delNode.right); } else if (delNode.right == null) { result = transplant(delNode...= delNode) { // 交换位置，用miniNode右节点，替换miniNode transplant(miniNode, miniNode.right...= null) { node = node.left; } return node; } private Node transplant(Node delNode, Node...使用交换函数 transplant 最后是进行节点72与待删节点64的交换过程，更换三角关系，父节点、左子节点、右子节点。

6983 0

动画红黑树，旋转的艺术

= x; } // 2 根节点变化，更换根节点 y->p = x->p; // 如果x是根节点，将root设置为y transplant...= nil) { y->right->p = x; } y->p = x->p; transplant(x, y);...{ auto z = new RBTreeNode(k, v, RED); insert(z); } } void transplant...(z, z->right); } else if (z->right == nil) { x = z->left; transplant(...>right; if (y->p == z) { x->p = y; } else { transplant

1.6K5 0

首例接受异种猪心移植患者不幸去世

参考消息： https://apnews.com/article/pig-heart-transplant-6651614cb9d73bada8eea2ecb6449aef https://www.reuters.com.../markets/commodities/us-man-recovering-after-breakthrough-pig-heart-transplant-2022-01-10/ https://www.cbsnews.com.../news/david-bennett-dies-pig-heart-transplant-recipient-dead-2-months-after-operation/

2631 0

算法导论第十三章红黑树(2)

//@brief 真正的删除操作 65 void _Delete(RBTreeNode *node); 66 //@brief 专属红黑树的替换操作 67 void _RB_Transplant...//@brief 真正的删除操作 148 void _Delete(RBTreeNode *node); 149 //@brief 专属红黑树的替换操作 150 void _RB_Transplant...//@brief 真正的删除操作 231 void _Delete(RBTreeNode *node); 232 //@brief 专属红黑树的替换操作 233 void _RB_Transplant...if (delete_node->Right == m_pNil) {//右孩子为空 232 temp_node = delete_node->Left; 233 _RB_Transplant...delete_node->Right; 244 min_node->Right->Parent = min_node; 245 } 246 _RB_Transplant

4352 0

全球首例猪心移植人体手术：57岁晚期心脏病患者术后状况良好

参考链接： [1]https://apnews.com/article/pig-heart-transplant-6651614cb9d73bada8eea2ecb6449aef [2]https://...www.nytimes.com/2022/01/10/health/heart-transplant-pig-bennett.html [3]https://www.usatoday.com/story.../news/health/2022/01/10/human-pig-heart-transplant/9152951002/ — 完 —

4133 0

红黑树算法的Java实现

T.getRoot().setColor(NodeColor.Black); } //删除结点子函数，把根结点为u的子树替换为根结点为v的子树 public void RB_TRANSPLANT...，直接将右子树置于z位置 if( IsNil(z.getLeft()) == true ){ x = z.getRight(); RB_TRANSPLANT...直接将左子树置于z位置 else if( IsNil(z.getRight()) == true ){ x = z.getLeft(); RB_TRANSPLANT...x.setParent(y); } //若不相连 else{ RB_TRANSPLANT...y.setRight(z.getRight()); y.getRight().setParent(y); } RB_TRANSPLANT

1.6K1 1

《算法导论》第 13 章 - 红黑树

处理子节点情况 if (z->left == nil) { // 左子为空，用右子替换 x = z->right; transplant...} else if (z->right == nil) { // 右子为空，用左子替换 x = z->left; transplant...if (y->parent == z) { x->parent = y; } else { transplant...>color; Node* x = nil; if (z->left == nil) { x = z->right; transplant...(z, z->right); } else if (z->right == nil) { x = z->left; transplant(

1081 0

Python实现红黑树：从理论到实践的记录日志

_transplant(node, node.right) elif node.right == self.NIL_LEAF: x = node.left self...._transplant(node, node.left) else: # 有两个子节点，找后继节点 successor = self...._transplant(successor, successor.right) successor.right = node.right successor.right.parent..._transplant(node, successor) successor.left = node.left successor.left.parent = successor..._size -= 1 return Truedef _transplant(self, u, v): """用v子树替换u子树""" if u.parent is None:

3231 0

map和set的应用与模拟实现

} } } x->color = BLACK; } // 从节点z开始删除 void transplant...Color yOriginalColor = y->color; if (z->left == nil) { x = z->right; transplant...(z, z->right); } else if (z->right == nil) { x = z->left; transplant(...if (y->parent == z) { x->parent = y; } else { transplant...y->right = z->right; y->right->parent = y; } transplant

921 0

全球首例！美国57岁男子成功移植转基因「猪心」，异种移植再创奇迹

参考资料： https://www.nytimes.com/2022/01/10/health/heart-transplant-pig-bennett.html https://apnews.com/...article/pig-heart-transplant-6651614cb9d73bada8eea2ecb6449aef https://www.youtube.com/watch?...PrLP5OYR7dM https://timesofindia.indiatimes.com/home/science/in-1997-this-indian-doctor-tried-pig-heart-transplant-was-jailed

4841 0

《算法导论》第 12 章 - 二叉搜索树

如果被删除节点只有一个孩子，用孩子替换该节点如果被删除节点有两个孩子，找到该节点的后继（或前驱），用后继替换该节点，然后删除后继为了简化删除操作，《算法导论》中引入了一个辅助函数transplant...* z) { if (z == nullptr) return; // 情况1：没有左孩子 if (z->left == nullptr) { transplant...(z, z->right); } // 情况2：有左孩子但没有右孩子 else if (z->right == nullptr) { transplant(z,...= z) { transplant(y, y->right); // 用后继的右孩子替换后继 y->right = z->right;...// 后继的右指针指向z的右孩子 y->right->parent = y; } transplant(z, y);

661 0

PIE-Engine 教程:水稻面积提取4—阈值筛选(宿迁市)

(166).rename('doy')) var july = col1.getAt(3).addBands(pie.Image().constant(196).rename('doy')) var transplant...apr2, may2, june2, july2, aug, sept, oct]) //B1,B2,doy 阈值筛选/ //插秧期合成negVI最大值，并记录doy1 var flood = transplant.qualityMosaic

3501 0

点击加载更多

相关资讯

热门标签

活动推荐

运营活动

活动名称

广告关闭