- 資料結構與演算法
- DSA - 首頁
- DSA - 概述
- DSA - 環境搭建
- DSA - 演算法基礎
- DSA - 漸進分析
- 資料結構
- DSA - 資料結構基礎
- DSA - 資料結構和型別
- DSA - 陣列資料結構
- 連結串列
- DSA - 連結串列資料結構
- DSA - 雙向連結串列資料結構
- DSA - 迴圈連結串列資料結構
- 棧與佇列
- DSA - 棧資料結構
- DSA - 表示式解析
- DSA - 佇列資料結構
- 搜尋演算法
- DSA - 搜尋演算法
- DSA - 線性搜尋演算法
- DSA - 二分搜尋演算法
- DSA - 插值搜尋
- DSA - 跳躍搜尋演算法
- DSA - 指數搜尋
- DSA - 斐波那契搜尋
- DSA - 子列表搜尋
- DSA - 散列表
- 排序演算法
- DSA - 排序演算法
- DSA - 氣泡排序演算法
- DSA - 插入排序演算法
- DSA - 選擇排序演算法
- DSA - 歸併排序演算法
- DSA - 希爾排序演算法
- DSA - 堆排序
- DSA - 桶排序演算法
- DSA - 計數排序演算法
- DSA - 基數排序演算法
- DSA - 快速排序演算法
- 圖資料結構
- DSA - 圖資料結構
- DSA - 深度優先遍歷
- DSA - 廣度優先遍歷
- DSA - 生成樹
- 樹資料結構
- DSA - 樹資料結構
- DSA - 樹的遍歷
- DSA - 二叉搜尋樹
- DSA - AVL樹
- DSA - 紅黑樹
- DSA - B樹
- DSA - B+樹
- DSA - 伸展樹
- DSA - 字典樹
- DSA - 堆資料結構
- 遞迴
- DSA - 遞迴演算法
- DSA - 使用遞迴實現漢諾塔
- DSA - 使用遞迴實現斐波那契數列
- 分治法
- DSA - 分治法
- DSA - 最大最小問題
- DSA - Strassen矩陣乘法
- DSA - Karatsuba演算法
- 貪心演算法
- DSA - 貪心演算法
- DSA - 旅行商問題(貪心演算法)
- DSA - Prim最小生成樹演算法
- DSA - Kruskal最小生成樹演算法
- DSA - Dijkstra最短路徑演算法
- DSA - 地圖著色演算法
- DSA - 分數揹包問題
- DSA - 帶截止日期的作業排序
- DSA - 最優合併模式演算法
- 動態規劃
- DSA - 動態規劃
- DSA - 矩陣鏈乘法
- DSA - Floyd-Warshall演算法
- DSA - 0-1揹包問題
- DSA - 最長公共子序列演算法
- DSA - 旅行商問題(動態規劃)
- 近似演算法
- DSA - 近似演算法
- DSA - 頂點覆蓋演算法
- DSA - 集合覆蓋問題
- DSA - 旅行商問題(近似演算法)
- 隨機化演算法
- DSA - 隨機化演算法
- DSA - 隨機化快速排序演算法
- DSA - Karger最小割演算法
- DSA - Fisher-Yates洗牌演算法
- DSA有用資源
- DSA - 問答
- DSA - 快速指南
- DSA - 有用資源
- DSA - 討論
紅黑樹
紅黑樹是另一種平衡二叉搜尋樹,具有兩種顏色的節點:紅色和黑色。它是一種自平衡二叉搜尋樹,利用這些顏色在插入和刪除操作期間保持平衡因子。因此,在紅黑樹操作期間,記憶體使用1位儲存來容納每個節點的顏色資訊。
在紅黑樹(也稱為RB樹)中,為節點分配顏色時需要遵循不同的條件。
根節點始終為黑色。
不允許出現兩個相鄰的紅色節點。
樹中的每條路徑(從根節點到葉節點)必須具有相同數量的黑色節點。
儘管AVL樹比RB樹更平衡,AVL樹的平衡演算法比RB樹更嚴格,但透過RB樹可以使多個和更快的插入和刪除操作更高效。
圖:RB樹
紅黑樹的基本操作
紅黑樹的操作包括通常在二叉搜尋樹上執行的所有基本操作。RB樹的一些基本操作包括:
插入
刪除
搜尋
插入操作
紅黑樹的插入操作遵循二叉搜尋樹相同的插入演算法。元素按照二叉搜尋屬性插入,此外,節點被著色為紅色和黑色以根據紅黑樹屬性平衡樹。
按照以下步驟,透過保持二叉搜尋樹和紅黑樹屬性來將元素插入紅黑樹。
情況1 - 檢查樹是否為空;如果為空,則將當前節點設為根節點並將其顏色設定為黑色。
情況2 - 但如果樹不為空,我們建立一個新節點並將其顏色設定為紅色。這裡我們面臨兩種不同的情況:
如果新節點的父節點是黑色,則我們退出操作,樹保持不變。
如果新節點的父節點是紅色,並且父節點的兄弟節點的顏色是黑色或不存在,則我們應用適當的旋轉並相應地重新著色。
如果新節點的父節點是紅色,並且父節點的兄弟節點是紅色,則將父節點、兄弟節點和祖父節點重新著色為黑色。只有當祖父節點不是根節點時才重新著色祖父節點;如果它是根節點,則只重新著色父節點和兄弟節點。
示例
讓我們為前7個整數構造一個RB樹,以便詳細瞭解插入操作:
檢查樹為空,因此新增的第一個節點是根節點,顏色為黑色。
現在,樹不為空,因此我們建立一個新節點並新增下一個整數,顏色為紅色。
節點不違反二叉搜尋樹和RB樹屬性,因此我們繼續新增另一個節點。
樹不為空;我們建立一個新的紅色節點,並將下一個整數新增到其中。但是新節點的父節點不是黑色。
目前的樹違反了二叉搜尋樹和RB樹屬性;由於父節點的兄弟節點為NULL,我們應用適當的旋轉並重新著色節點。
現在RB樹屬性已恢復,我們向樹中新增另一個節點:
樹再次違反了RB樹的平衡屬性,因此我們檢查父節點的兄弟節點顏色,在本例中為紅色,因此我們只需重新著色父節點和兄弟節點。
接下來我們插入元素5,這使得樹再次違反RB樹的平衡屬性。
由於兄弟節點為NULL,我們應用適當的旋轉和重新著色。
現在,我們插入元素6,但是RB樹屬性被違反,需要應用一個插入情況:
父節點的兄弟節點是紅色,因此我們重新著色父節點、父節點的兄弟節點和祖父節點,因為祖父節點不是根節點。
現在,我們新增最後一個元素7,但新節點的父節點是紅色。
由於父節點的兄弟節點為NULL,我們應用適當的旋轉(RR旋轉)
最終得到RB樹。
刪除操作
紅黑樹的刪除操作必須以這樣一種方式執行:它必須恢復二叉搜尋樹和紅黑樹的所有屬性。按照以下步驟在紅黑樹上執行刪除操作:
首先,我們根據二叉搜尋樹屬性執行刪除。
情況1 - 如果要刪除的節點或節點的父節點是紅色,則只需刪除它。
情況2 - 如果節點是雙黑,則只需刪除雙黑(當要刪除的節點是黑色葉節點時,就會出現雙黑,因為它還會累加被認為是黑色的NULL節點)。
情況3 - 如果雙黑節點的兄弟節點也是黑色節點,並且其子節點也是黑色,則執行以下步驟:
刪除雙黑
將其父節點重新著色為黑色(如果父節點是紅色,則變為黑色;如果父節點已經是黑色,則變為雙黑)
將父節點的兄弟節點重新著色為紅色
如果仍然存在雙黑節點,我們應用其他情況。
情況4 - 如果雙黑節點的兄弟節點是紅色,我們執行以下步驟:
交換父節點和父節點的兄弟節點的顏色。
朝雙黑節點的方向旋轉父節點
重新應用其他適用情況。
情況5 - 如果雙黑節點的兄弟節點是黑色節點,但最靠近雙黑的兄弟節點的子節點是紅色,則執行以下步驟:
交換雙黑節點的兄弟節點和相關兄弟節點子節點的顏色
朝與雙黑節點相反的方向旋轉兄弟節點(即,如果雙黑節點是右子節點,則應用左旋轉,反之亦然)
應用情況6。
情況6 - 如果雙黑節點的兄弟節點是黑色節點,但離雙黑節點較遠的兄弟節點的子節點是紅色,則執行以下步驟:
交換雙黑節點的父節點和兄弟節點的顏色
朝雙黑節點的方向旋轉父節點(即,如果雙黑節點是右子節點,則應用右旋轉,反之亦然)
刪除雙黑
將紅色子節點的顏色更改為黑色。
示例
考慮上面構造的相同的紅黑樹,讓我們從樹中刪除一些元素。
從樹中刪除元素4、5、3。
要刪除元素4,讓我們首先執行二叉搜尋刪除。
執行二叉搜尋刪除後,RB樹屬性沒有被破壞,因此樹保持不變。
然後,我們使用二叉搜尋刪除來刪除元素5
但是執行二叉搜尋刪除後,RB屬性被破壞,即樹中所有路徑不包含相同數量的黑色節點;因此,我們交換顏色以平衡樹。
然後,我們從獲得的樹中刪除節點3:
應用二叉搜尋刪除,我們正常刪除節點3,因為它是一個葉節點。並且我們得到一個雙節點,因為3是一個黑色節點。
我們應用情況3刪除,因為雙黑節點的兄弟節點是黑色,其子節點也是黑色。在這裡,我們刪除雙黑,重新著色雙黑節點的父節點和兄弟節點。
所有所需節點都被刪除,並且保持了RB樹屬性。
搜尋操作
紅黑樹的搜尋操作與二叉搜尋樹的演算法相同。它遍歷樹,並將每個節點與要搜尋的關鍵元素進行比較;如果找到,則返回成功搜尋;否則,返回不成功搜尋。
完整實現
以下是各種程式語言中紅黑樹的完整實現:
// C++ program for Red black trees algorithmn
#include <iostream>
using namespace std;
struct Node {
int data;
Node *parent;
Node *left;
Node *right;
int color;
};
typedef Node *NodePtr;
class RedBlackTree {
private:
NodePtr root;
NodePtr TNULL;
void initializeNULLNode(NodePtr node, NodePtr parent) {
node->data = 0;
node->parent = parent;
node->left = nullptr;
node->right = nullptr;
node->color = 0;
}
// Preorder
void preOrderHelper(NodePtr node) {
if (node != TNULL) {
cout << node->data << " ";
preOrderHelper(node->left);
preOrderHelper(node->right);
}
}
// Inorder
void inOrderHelper(NodePtr node) {
if (node != TNULL) {
inOrderHelper(node->left);
cout << node->data << " ";
inOrderHelper(node->right);
}
}
// Post order
void postOrderHelper(NodePtr node) {
if (node != TNULL) {
postOrderHelper(node->left);
postOrderHelper(node->right);
cout << node->data << " ";
}
}
NodePtr searchTreeHelper(NodePtr node, int key) {
if (node == TNULL || key == node->data) {
return node;
}
if (key < node->data) {
return searchTreeHelper(node->left, key);
}
return searchTreeHelper(node->right, key);
}
// For balancing the tree after deletion
void deleteFix(NodePtr x) {
NodePtr s;
while (x != root && x->color == 0) {
if (x == x->parent->left) {
s = x->parent->right;
if (s->color == 1) {
s->color = 0;
x->parent->color = 1;
leftRotate(x->parent);
s = x->parent->right;
}
if (s->left->color == 0 && s->right->color == 0) {
s->color = 1;
x = x->parent;
} else {
if (s->right->color == 0) {
s->left->color = 0;
s->color = 1;
rightRotate(s);
s = x->parent->right;
}
s->color = x->parent->color;
x->parent->color = 0;
s->right->color = 0;
leftRotate(x->parent);
x = root;
}
} else {
s = x->parent->left;
if (s->color == 1) {
s->color = 0;
x->parent->color = 1;
rightRotate(x->parent);
s = x->parent->left;
}
if (s->right->color == 0 && s->right->color == 0) {
s->color = 1;
x = x->parent;
} else {
if (s->left->color == 0) {
s->right->color = 0;
s->color = 1;
leftRotate(s);
s = x->parent->left;
}
s->color = x->parent->color;
x->parent->color = 0;
s->left->color = 0;
rightRotate(x->parent);
x = root;
}
}
}
x->color = 0;
}
void rbTransplant(NodePtr u, NodePtr v) {
if (u->parent == nullptr) {
root = v;
} else if (u == u->parent->left) {
u->parent->left = v;
} else {
u->parent->right = v;
}
v->parent = u->parent;
}
void deleteNodeHelper(NodePtr node, int key) {
NodePtr z = TNULL;
NodePtr x, y;
while (node != TNULL) {
if (node->data == key) {
z = node;
}
if (node->data <= key) {
node = node->right;
} else {
node = node->left;
}
}
if (z == TNULL) {
cout << "Key not found in the tree" << endl;
return;
}
y = z;
int y_original_color = y->color;
if (z->left == TNULL) {
x = z->right;
rbTransplant(z, z->right);
} else if (z->right == TNULL) {
x = z->left;
rbTransplant(z, z->left);
} else {
y = minimum(z->right);
y_original_color = y->color;
x = y->right;
if (y->parent == z) {
x->parent = y;
} else {
rbTransplant(y, y->right);
y->right = z->right;
y->right->parent = y;
}
rbTransplant(z, y);
y->left = z->left;
y->left->parent = y;
y->color = z->color;
}
delete z;
if (y_original_color == 0) {
deleteFix(x);
}
}
// For balancing the tree after insertion
void insertFix(NodePtr k) {
NodePtr u;
while (k->parent->color == 1) {
if (k->parent == k->parent->parent->right) {
u = k->parent->parent->left;
if (u->color == 1) {
u->color = 0;
k->parent->color = 0;
k->parent->parent->color = 1;
k = k->parent->parent;
} else {
if (k == k->parent->left) {
k = k->parent;
rightRotate(k);
}
k->parent->color = 0;
k->parent->parent->color = 1;
leftRotate(k->parent->parent);
}
} else {
u = k->parent->parent->right;
if (u->color == 1) {
u->color = 0;
k->parent->color = 0;
k->parent->parent->color = 1;
k = k->parent->parent;
} else {
if (k == k->parent->right) {
k = k->parent;
leftRotate(k);
}
k->parent->color = 0;
k->parent->parent->color = 1;
rightRotate(k->parent->parent);
}
}
if (k == root) {
break;
}
}
root->color = 0;
}
void printHelper(NodePtr root, string indent, bool last) {
if (root != TNULL) {
cout << indent;
if (last) {
cout << "R----";
indent += " ";
} else {
cout << "L----";
indent += "| ";
}
string sColor = root->color ? "RED" : "BLACK";
cout << root->data << "(" << sColor << ")" << endl;
printHelper(root->left, indent, false);
printHelper(root->right, indent, true);
}
}
public:
RedBlackTree() {
TNULL = new Node;
TNULL->color = 0;
TNULL->left = nullptr;
TNULL->right = nullptr;
root = TNULL;
}
void preorder() {
preOrderHelper(this->root);
}
void inorder() {
inOrderHelper(this->root);
}
void postorder() {
postOrderHelper(this->root);
}
NodePtr searchTree(int k) {
return searchTreeHelper(this->root, k);
}
NodePtr minimum(NodePtr node) {
while (node->left != TNULL) {
node = node->left;
}
return node;
}
NodePtr maximum(NodePtr node) {
while (node->right != TNULL) {
node = node->right;
}
return node;
}
NodePtr successor(NodePtr x) {
if (x->right != TNULL) {
return minimum(x->right);
}
NodePtr y = x->parent;
while (y != TNULL && x == y->right) {
x = y;
y = y->parent;
}
return y;
}
NodePtr predecessor(NodePtr x) {
if (x->left != TNULL) {
return maximum(x->left);
}
NodePtr y = x->parent;
while (y != TNULL && x == y->left) {
x = y;
y = y->parent;
}
return y;
}
void leftRotate(NodePtr x) {
NodePtr y = x->right;
x->right = y->left;
if (y->left != TNULL) {
y->left->parent = x;
}
y->parent = x->parent;
if (x->parent == nullptr) {
this->root = y;
} else if (x == x->parent->left) {
x->parent->left = y;
} else {
x->parent->right = y;
}
y->left = x;
x->parent = y;
}
void rightRotate(NodePtr x) {
NodePtr y = x->left;
x->left = y->right;
if (y->right != TNULL) {
y->right->parent = x;
}
y->parent = x->parent;
if (x->parent == nullptr) {
this->root = y;
} else if (x == x->parent->right) {
x->parent->right = y;
} else {
x->parent->left = y;
}
y->right = x;
x->parent = y;
}
// Inserting a node
void insert(int key) {
NodePtr node = new Node;
node->parent = nullptr;
node->data = key;
node->left = TNULL;
node->right = TNULL;
node->color = 1;
NodePtr y = nullptr;
NodePtr x = this->root;
while (x != TNULL) {
y = x;
if (node->data < x->data) {
x = x->left;
} else {
x = x->right;
}
}
node->parent = y;
if (y == nullptr) {
root = node;
} else if (node->data < y->data) {
y->left = node;
} else {
y->right = node;
}
if (node->parent == nullptr) {
node->color = 0;
return;
}
if (node->parent->parent == nullptr) {
return;
}
insertFix(node);
}
NodePtr getRoot() {
return this->root;
}
void deleteNode(int data) {
deleteNodeHelper(this->root, data);
}
void printTree() {
if (root) {
printHelper(this->root, "", true);
}
}
};
int main() {
RedBlackTree V;
V.insert(24);
V.insert(33);
V.insert(42);
V.insert(51);
V.insert(60);
V.insert(40);
V.insert(22);
V.printTree();
cout << endl
<< "After deleting an element" << endl;
V.deleteNode(40);
V.printTree();
}
輸出
R----33(BLACK)
L----24(BLACK)
| L----22(RED)
R----51(RED)
L----42(BLACK)
| L----40(RED)
R----60(BLACK)
After deleting an element
R----33(BLACK)
L----24(BLACK)
| L----22(RED)
R----51(RED)
L----42(BLACK)
R----60(BLACK)
// Implementing Red-Black Tree in Java
class Node {
int data;
Node parent;
Node left;
Node right;
int color;
}
public class RedBlackTree {
private Node root;
private Node TNULL;
// Preorder
private void preOrderHelper(Node node) {
if (node != TNULL) {
System.out.print(node.data + " ");
preOrderHelper(node.left);
preOrderHelper(node.right);
}
}
// Inorder
private void inOrderHelper(Node node) {
if (node != TNULL) {
inOrderHelper(node.left);
System.out.print(node.data + " ");
inOrderHelper(node.right);
}
}
// Post order
private void postOrderHelper(Node node) {
if (node != TNULL) {
postOrderHelper(node.left);
postOrderHelper(node.right);
System.out.print(node.data + " ");
}
}
// Search the tree
private Node searchTreeHelper(Node node, int key) {
if (node == TNULL || key == node.data) {
return node;
}
if (key < node.data) {
return searchTreeHelper(node.left, key);
}
return searchTreeHelper(node.right, key);
}
// Balance the tree after deletion of a node
private void fixDelete(Node x) {
Node s;
while (x != root && x.color == 0) {
if (x == x.parent.left) {
s = x.parent.right;
if (s.color == 1) {
s.color = 0;
x.parent.color = 1;
leftRotate(x.parent);
s = x.parent.right;
}
if (s.left.color == 0 && s.right.color == 0) {
s.color = 1;
x = x.parent;
} else {
if (s.right.color == 0) {
s.left.color = 0;
s.color = 1;
rightRotate(s);
s = x.parent.right;
}
s.color = x.parent.color;
x.parent.color = 0;
s.right.color = 0;
leftRotate(x.parent);
x = root;
}
} else {
s = x.parent.left;
if (s.color == 1) {
s.color = 0;
x.parent.color = 1;
rightRotate(x.parent);
s = x.parent.left;
}
if (s.right.color == 0 && s.right.color == 0) {
s.color = 1;
x = x.parent;
} else {
if (s.left.color == 0) {
s.right.color = 0;
s.color = 1;
leftRotate(s);
s = x.parent.left;
}
s.color = x.parent.color;
x.parent.color = 0;
s.left.color = 0;
rightRotate(x.parent);
x = root;
}
}
}
x.color = 0;
}
private void rbTransplant(Node u, Node v) {
if (u.parent == null) {
root = v;
} else if (u == u.parent.left) {
u.parent.left = v;
} else {
u.parent.right = v;
}
v.parent = u.parent;
}
private void deleteNodeHelper(Node node, int key) {
Node z = TNULL;
Node x, y;
while (node != TNULL) {
if (node.data == key) {
z = node;
}
if (node.data <= key) {
node = node.right;
} else {
node = node.left;
}
}
if (z == TNULL) {
System.out.println("Couldn't find key in the tree");
return;
}
y = z;
int yOriginalColor = y.color;
if (z.left == TNULL) {
x = z.right;
rbTransplant(z, z.right);
} else if (z.right == TNULL) {
x = z.left;
rbTransplant(z, z.left);
} else {
y = minimum(z.right);
yOriginalColor = y.color;
x = y.right;
if (y.parent == z) {
x.parent = y;
} else {
rbTransplant(y, y.right);
y.right = z.right;
y.right.parent = y;
}
rbTransplant(z, y);
y.left = z.left;
y.left.parent = y;
y.color = z.color;
}
if (yOriginalColor == 0) {
fixDelete(x);
}
}
// Balance the node after insertion
private void fixInsert(Node k) {
Node u;
while (k.parent.color == 1) {
if (k.parent == k.parent.parent.right) {
u = k.parent.parent.left;
if (u.color == 1) {
u.color = 0;
k.parent.color = 0;
k.parent.parent.color = 1;
k = k.parent.parent;
} else {
if (k == k.parent.left) {
k = k.parent;
rightRotate(k);
}
k.parent.color = 0;
k.parent.parent.color = 1;
leftRotate(k.parent.parent);
}
} else {
u = k.parent.parent.right;
if (u.color == 1) {
u.color = 0;
k.parent.color = 0;
k.parent.parent.color = 1;
k = k.parent.parent;
} else {
if (k == k.parent.right) {
k = k.parent;
leftRotate(k);
}
k.parent.color = 0;
k.parent.parent.color = 1;
rightRotate(k.parent.parent);
}
}
if (k == root) {
break;
}
}
root.color = 0;
}
private void printHelper(Node root, String indent, boolean last) {
if (root != TNULL) {
System.out.print(indent);
if (last) {
System.out.print("R----");
indent += " ";
} else {
System.out.print("L----");
indent += "| ";
}
String sColor = root.color == 1 ? "RED" : "BLACK";
System.out.println(root.data + "(" + sColor + ")");
printHelper(root.left, indent, false);
printHelper(root.right, indent, true);
}
}
public RedBlackTree() {
TNULL = new Node();
TNULL.color = 0;
TNULL.left = null;
TNULL.right = null;
root = TNULL;
}
public void preorder() {
preOrderHelper(this.root);
}
public void inorder() {
inOrderHelper(this.root);
}
public void postorder() {
postOrderHelper(this.root);
}
public Node searchTree(int k) {
return searchTreeHelper(this.root, k);
}
public Node minimum(Node node) {
while (node.left != TNULL) {
node = node.left;
}
return node;
}
public Node maximum(Node node) {
while (node.right != TNULL) {
node = node.right;
}
return node;
}
public Node successor(Node x) {
if (x.right != TNULL) {
return minimum(x.right);
}
Node y = x.parent;
while (y != TNULL && x == y.right) {
x = y;
y = y.parent;
}
return y;
}
public Node predecessor(Node x) {
if (x.left != TNULL) {
return maximum(x.left);
}
Node y = x.parent;
while (y != TNULL && x == y.left) {
x = y;
y = y.parent;
}
return y;
}
public void leftRotate(Node x) {
Node y = x.right;
x.right = y.left;
if (y.left != TNULL) {
y.left.parent = x;
}
y.parent = x.parent;
if (x.parent == null) {
this.root = y;
} else if (x == x.parent.left) {
x.parent.left = y;
} else {
x.parent.right = y;
}
y.left = x;
x.parent = y;
}
public void rightRotate(Node x) {
Node y = x.left;
x.left = y.right;
if (y.right != TNULL) {
y.right.parent = x;
}
y.parent = x.parent;
if (x.parent == null) {
this.root = y;
} else if (x == x.parent.right) {
x.parent.right = y;
} else {
x.parent.left = y;
}
y.right = x;
x.parent = y;
}
public void insert(int key) {
Node node = new Node();
node.parent = null;
node.data = key;
node.left = TNULL;
node.right = TNULL;
node.color = 1;
Node y = null;
Node x = this.root;
while (x != TNULL) {
y = x;
if (node.data < x.data) {
x = x.left;
} else {
x = x.right;
}
}
node.parent = y;
if (y == null) {
root = node;
} else if (node.data < y.data) {
y.left = node;
} else {
y.right = node;
}
if (node.parent == null) {
node.color = 0;
return;
}
if (node.parent.parent == null) {
return;
}
fixInsert(node);
}
public Node getRoot() {
return this.root;
}
public void deleteNode(int data) {
deleteNodeHelper(this.root, data);
}
public void printTree() {
printHelper(this.root, "", true);
}
public static void main(String[] args) {
RedBlackTree V = new RedBlackTree();
V.insert(24);
V.insert(33);
V.insert(42);
V.insert(51);
V.insert(60);
V.insert(40);
V.insert(22);
V.printTree();
System.out.println("\nAfter deleting an element:");
V.deleteNode(40);
V.printTree();
}
}
輸出
R----33(BLACK)
L----24(BLACK)
| L----22(RED)
R----51(RED)
L----42(BLACK)
| L----40(RED)
R----60(BLACK)
After deleting an element:
R----33(BLACK)
L----24(BLACK)
| L----22(RED)
R----51(RED)
L----42(BLACK)
R----60(BLACK)
#python program for Red black trees
import sys
# Node creation
class Node():
def __init__(self, item):
self.item = item
self.parent = None
self.left = None
self.right = None
self.color = 1
class RedBlackTree():
def __init__(self):
self.TNULL = Node(0)
self.TNULL.color = 0
self.TNULL.left = None
self.TNULL.right = None
self.root = self.TNULL
# Preorder
def pre_order_helper(self, node):
if node != TNULL:
sys.stdout.write(node.item + " ")
self.pre_order_helper(node.left)
self.pre_order_helper(node.right)
# Inorder
def in_order_helper(self, node):
if node != TNULL:
self.in_order_helper(node.left)
sys.stdout.write(node.item + " ")
self.in_order_helper(node.right)
# Postorder
def post_order_helper(self, node):
if node != TNULL:
self.post_order_helper(node.left)
self.post_order_helper(node.right)
sys.stdout.write(node.item + " ")
# Search the tree
def search_tree_helper(self, node, key):
if node == TNULL or key == node.item:
return node
if key < node.item:
return self.search_tree_helper(node.left, key)
return self.search_tree_helper(node.right, key)
# Balancing the tree after deletion
def delete_fix(self, x):
while x != self.root and x.color == 0:
if x == x.parent.left:
s = x.parent.right
if s.color == 1:
s.color = 0
x.parent.color = 1
self.left_rotate(x.parent)
s = x.parent.right
if s.left.color == 0 and s.right.color == 0:
s.color = 1
x = x.parent
else:
if s.right.color == 0:
s.left.color = 0
s.color = 1
self.right_rotate(s)
s = x.parent.right
s.color = x.parent.color
x.parent.color = 0
s.right.color = 0
self.left_rotate(x.parent)
x = self.root
else:
s = x.parent.left
if s.color == 1:
s.color = 0
x.parent.color = 1
self.right_rotate(x.parent)
s = x.parent.left
if s.right.color == 0 and s.right.color == 0:
s.color = 1
x = x.parent
else:
if s.left.color == 0:
s.right.color = 0
s.color = 1
self.left_rotate(s)
s = x.parent.left
s.color = x.parent.color
x.parent.color = 0
s.left.color = 0
self.right_rotate(x.parent)
x = self.root
x.color = 0
def __rb_transplant(self, u, v):
if u.parent == None:
self.root = v
elif u == u.parent.left:
u.parent.left = v
else:
u.parent.right = v
v.parent = u.parent
# Node deletion
def delete_node_helper(self, node, key):
z = self.TNULL
while node != self.TNULL:
if node.item == key:
z = node
if node.item <= key:
node = node.right
else:
node = node.left
if z == self.TNULL:
print("Cannot find key in the tree")
return
y = z
y_original_color = y.color
if z.left == self.TNULL:
x = z.right
self.__rb_transplant(z, z.right)
elif (z.right == self.TNULL):
x = z.left
self.__rb_transplant(z, z.left)
else:
y = self.minimum(z.right)
y_original_color = y.color
x = y.right
if y.parent == z:
x.parent = y
else:
self.__rb_transplant(y, y.right)
y.right = z.right
y.right.parent = y
self.__rb_transplant(z, y)
y.left = z.left
y.left.parent = y
y.color = z.color
if y_original_color == 0:
self.delete_fix(x)
# Balance the tree after insertion
def fix_insert(self, k):
while k.parent.color == 1:
if k.parent == k.parent.parent.right:
u = k.parent.parent.left
if u.color == 1:
u.color = 0
k.parent.color = 0
k.parent.parent.color = 1
k = k.parent.parent
else:
if k == k.parent.left:
k = k.parent
self.right_rotate(k)
k.parent.color = 0
k.parent.parent.color = 1
self.left_rotate(k.parent.parent)
else:
u = k.parent.parent.right
if u.color == 1:
u.color = 0
k.parent.color = 0
k.parent.parent.color = 1
k = k.parent.parent
else:
if k == k.parent.right:
k = k.parent
self.left_rotate(k)
k.parent.color = 0
k.parent.parent.color = 1
self.right_rotate(k.parent.parent)
if k == self.root:
break
self.root.color = 0
# Printing the tree
def __print_helper(self, node, indent, last):
if node != self.TNULL:
sys.stdout.write(indent)
if last:
sys.stdout.write("R----")
indent += " "
else:
sys.stdout.write("L----")
indent += "| "
s_color = "RED" if node.color == 1 else "BLACK"
print(str(node.item) + "(" + s_color + ")")
self.__print_helper(node.left, indent, False)
self.__print_helper(node.right, indent, True)
def preorder(self):
self.pre_order_helper(self.root)
def inorder(self):
self.in_order_helper(self.root)
def postorder(self):
self.post_order_helper(self.root)
def searchTree(self, k):
return self.search_tree_helper(self.root, k)
def minimum(self, node):
while node.left != self.TNULL:
node = node.left
return node
def maximum(self, node):
while node.right != self.TNULL:
node = node.right
return node
def successor(self, x):
if x.right != self.TNULL:
return self.minimum(x.right)
y = x.parent
while y != self.TNULL and x == y.right:
x = y
y = y.parent
return y
def predecessor(self, x):
if (x.left != self.TNULL):
return self.maximum(x.left)
y = x.parent
while y != self.TNULL and x == y.left:
x = y
y = y.parent
return y
def left_rotate(self, x):
y = x.right
x.right = y.left
if y.left != self.TNULL:
y.left.parent = x
y.parent = x.parent
if x.parent == None:
self.root = y
elif x == x.parent.left:
x.parent.left = y
else:
x.parent.right = y
y.left = x
x.parent = y
def right_rotate(self, x):
y = x.left
x.left = y.right
if y.right != self.TNULL:
y.right.parent = x
y.parent = x.parent
if x.parent == None:
self.root = y
elif x == x.parent.right:
x.parent.right = y
else:
x.parent.left = y
y.right = x
x.parent = y
def insert(self, key):
node = Node(key)
node.parent = None
node.item = key
node.left = self.TNULL
node.right = self.TNULL
node.color = 1
y = None
x = self.root
while x != self.TNULL:
y = x
if node.item < x.item:
x = x.left
else:
x = x.right
node.parent = y
if y == None:
self.root = node
elif node.item < y.item:
y.left = node
else:
y.right = node
if node.parent == None:
node.color = 0
return
if node.parent.parent == None:
return
self.fix_insert(node)
def get_root(self):
return self.root
def delete_node(self, item):
self.delete_node_helper(self.root, item)
def print_tree(self):
self.__print_helper(self.root, "", True)
if __name__ == "__main__":
V = RedBlackTree()
V.insert(24)
V.insert(33)
V.insert(42)
V.insert(51)
V.insert(60)
V.insert(40)
V.insert(22)
V.print_tree()
print("\nAfter deleting an element")
V.delete_node(40)
V.print_tree()
輸出
R----33(BLACK)
L----24(BLACK)
| L----22(RED)
R----51(RED)
L----42(BLACK)
| L----40(RED)
R----60(BLACK)
After deleting an element
R----33(BLACK)
L----24(BLACK)
| L----22(RED)
R----51(RED)
L----42(BLACK)
R----60(BLACK)