二叉樹
1.爲什麼需要樹這種數據結構
- 數組存儲方式的分析�優點:通過下標方式訪問元素,速度快。對於有序數組,還可使用二分查找提高檢索速度。�缺點:如果要檢索具體某個值,或者插入值(按一定順序)會整體移動,效率較低
- 鏈式存儲方式的分析�優點:在一定程度上對數組存儲方式有優化(比如:插入一個數值節點,只需要將插入節點,鏈接到鏈表中即可, 刪除效率也很好)。�缺點:在進行檢索時,效率仍然較低,比如(檢索某個值,需要從頭節點開始遍歷
- 樹存儲方式的分析�能提高數據存儲,讀取的效率, 比如利用 二叉排序樹(Binary Sort Tree),既可以保證數據的檢索速度,同時也可以保證數據的插入,刪除,修改的速度。
2.樹示意圖
3.二叉樹的概念
- 樹有很多種,每個節點最多只能有兩個子節點的一種形式稱爲二叉樹。
- 二叉樹的子節點分爲左節點和右節點。
- 如果該二叉樹的所有葉子節點都在最後一層,並且結點總數= 2^n -1 , n 爲層數,則我們稱爲滿二叉樹。
- 如果該二叉樹的所有葉子節點都在最後一層或者倒數第二層,而且最後一層的葉子節點在左邊連續,倒數第二層的葉子節點在右邊連續,我們稱爲完全二叉樹。
3.1二叉樹遍歷
前序遍歷: 先輸出父節點,再遍歷左子樹和右子樹
中序遍歷: 先遍歷左子樹,再輸出父節點,再遍歷右子樹
後序遍歷: 先遍歷左子樹,再遍歷右子樹,最後輸出父節點
小結: 看輸出父節點的順序,就確定是前序,中序還是後序
3.2代碼實現
package cn.smallmartial.tree;
/**
* @Author smallmartial
* @Date 2019/6/15
* @Email [email protected]
*/
public class BinaryTreeDemo {
public static void main(String[] args) {
//創建一個二叉樹
BinaryTree binaryTree = new BinaryTree();
HeroNode root = new HeroNode(1, "doodou");
HeroNode heroNode2 = new HeroNode(2, "smallmartial");
HeroNode heroNode3 = new HeroNode(3, "張三");
HeroNode heroNode4 = new HeroNode(4, "李四");
//先手動創建二叉樹
root.setLeft(heroNode2);
root.setRiht(heroNode3);
heroNode3.setRiht(heroNode4);
binaryTree.setRoot(root);
System.out.println("前序遍歷");
binaryTree.preOrder();
System.out.println("中序遍歷");
binaryTree.infixOrder();
System.out.println("後續序遍歷");
binaryTree.postOrder();
}
}
//創建二叉樹
class BinaryTree{
private HeroNode root;
public void setRoot(HeroNode root){
this.root = root;
}
//前序遍歷
public void preOrder(){
if (this.root != null){
this.root.proOrder();
}else {
System.out.println("二叉樹爲空,無法遍歷");
}
}
//中序遍歷
public void infixOrder(){
if (this.root != null){
this.root.infixOrder();
}else {
System.out.println("二叉樹爲空,無法遍歷");
}
}
//後續遍歷
public void postOrder(){
if (this.root != null){
this.root.postOrder();
}else {
System.out.println("二叉樹爲空,無法遍歷");
}
}
}
class HeroNode{
private int no;
private String name;
private HeroNode left;
private HeroNode right;
public HeroNode(int no, String name) {
this.no = no;
this.name = name;
}
public int getNo() {
return no;
}
public void setNo(int no) {
this.no = no;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public HeroNode getLeft() {
return left;
}
public void setLeft(HeroNode left) {
this.left = left;
}
public HeroNode getRiht() {
return right;
}
public void setRiht(HeroNode riht) {
this.right = riht;
}
@Override
public String toString() {
return "HeroNode{" +
"no=" + no +
", name='" + name + '\'' +
", left=" + left +
", riht=" + right +
'}';
}
//前序遍歷
public void proOrder(){
System.out.println(this);
//遞歸向左子樹前序遍歷
if (this.left != null){
this.left.proOrder();
}
//遞歸向右子樹前序遍歷
if (this.right != null){
this.right.proOrder();
}
//中序遍歷
}
//中序遍歷
public void infixOrder(){
//遞歸向左子樹中序遍歷
if (this.left != null){
this.left.infixOrder();
}
//輸出父節點
System.out.println(this);
//遞歸向右子樹中序遍歷
if (this.right != null){
this.right.infixOrder();
}
}
//後序遍歷
public void postOrder(){
if (this.left != null){
this.left.postOrder();
}
if (this.right != null){
this.right.postOrder();
}
System.out.println(this);
}
}
運行結果
3.3二叉樹-查找指定節點
要求:
請編寫前序查找,中序查找和後序查找的方法。
並分別使用三種查找方式,查找 heroNO = 5 的節點
並分析各種查找方式,分別比較了多少次-
代碼
package cn.smallmartial.tree; /** * @Author smallmartial * @Date 2019/6/15 * @Email [email protected] */ public class BinaryTreeDemo { public static void main(String[] args) { //創建一個二叉樹 BinaryTree binaryTree = new BinaryTree(); HeroNode root = new HeroNode(1, "doodou"); HeroNode heroNode2 = new HeroNode(2, "smallmartial"); HeroNode heroNode3 = new HeroNode(3, "張三"); HeroNode heroNode4 = new HeroNode(4, "李四"); //先手動創建二叉樹 root.setLeft(heroNode2); root.setRiht(heroNode3); heroNode3.setRiht(heroNode4); binaryTree.setRoot(root); // // System.out.println("前序遍歷"); // binaryTree.preOrder(); // // System.out.println("中序遍歷"); // binaryTree.infixOrder(); // // System.out.println("後續序遍歷"); // binaryTree.postOrder(); //前序遍歷 System.out.println("前序遍歷方式"); HeroNode resNode = binaryTree.preOrderSerch(4); if (resNode != null){ System.out.println("找到了信息爲no="+resNode.getNo()+"name="+resNode.getName()); }else { System.out.println("沒有找到 no ="+5); } } } //創建二叉樹 class BinaryTree{ private HeroNode root; public void setRoot(HeroNode root){ this.root = root; } //前序遍歷 public void preOrder(){ if (this.root != null){ this.root.proOrder(); }else { System.out.println("二叉樹爲空,無法遍歷"); } } //中序遍歷 public void infixOrder(){ if (this.root != null){ this.root.infixOrder(); }else { System.out.println("二叉樹爲空,無法遍歷"); } } //後續遍歷 public void postOrder(){ if (this.root != null){ this.root.postOrder(); }else { System.out.println("二叉樹爲空,無法遍歷"); } } //前序遍歷查找 public HeroNode preOrderSerch(int no){ if (root != null){ return root.proOrderserch(no); }else { return null; } } //中序遍歷 public HeroNode infixOrderSearch(int no){ if (root != null){ return root.infixOrderSearch(no); }else { return null; } } //後續遍歷 public HeroNode postOrderSearch(int no ){ if (root != null){ return root.postOrderSerach(no); }else { return null; } } } class HeroNode{ private int no; private String name; private HeroNode left; private HeroNode right; public HeroNode(int no, String name) { this.no = no; this.name = name; } public int getNo() { return no; } public void setNo(int no) { this.no = no; } public String getName() { return name; } public void setName(String name) { this.name = name; } public HeroNode getLeft() { return left; } public void setLeft(HeroNode left) { this.left = left; } public HeroNode getRiht() { return right; } public void setRiht(HeroNode riht) { this.right = riht; } @Override public String toString() { return "HeroNode{" + "no=" + no + ", name='" + name + '\'' + ", left=" + left + ", riht=" + right + '}'; } //前序遍歷 public void proOrder(){ System.out.println(this); //遞歸向左子樹前序遍歷 if (this.left != null){ this.left.proOrder(); } //遞歸向右子樹前序遍歷 if (this.right != null){ this.right.proOrder(); } //中序遍歷 } //中序遍歷 public void infixOrder(){ //遞歸向左子樹中序遍歷 if (this.left != null){ this.left.infixOrder(); } //輸出父節點 System.out.println(this); //遞歸向右子樹中序遍歷 if (this.right != null){ this.right.infixOrder(); } } //後序遍歷 public void postOrder(){ if (this.left != null){ this.left.postOrder(); } if (this.right != null){ this.right.postOrder(); } System.out.println(this); } //前序遍歷查找 public HeroNode proOrderserch(int no){ if (this.no == no){ return this; } HeroNode resNode = null; if (this.left != null){ resNode = this.left.proOrderserch(no); } if (resNode != null){ return resNode; } if (this.right != null){ resNode = this.right.proOrderserch(no); } return resNode; } //中序遍歷查找 public HeroNode infixOrderSearch(int no){ HeroNode resNode = null; if (this.left != null){ resNode = this.left.infixOrderSearch(no); } if (resNode != null){ return resNode; } if (this.no == no){ return this; } if (this.right != null){ resNode = this.right.infixOrderSearch(no); } return resNode; } //後序遍歷 public HeroNode postOrderSerach(int no ){ HeroNode resNode = null; if (this.left != null){ resNode = this.left.infixOrderSearch(no); } if (resNode != null){ return resNode; } if (this.right != null){ resNode = this.right.infixOrderSearch(no); } if (this.no == no){ return this; } return resNode; } }
3.4二叉樹的刪除
如果刪除的節點是葉子節點,則刪除該節點
如果刪除的節點是非葉子節點,則刪除該子樹.
測試,刪除掉 5號葉子節點 和 3號子樹.-
代碼
package cn.smallmartial.tree; /** * @Author smallmartial * @Date 2019/6/15 * @Email [email protected] */ public class BinaryTreeDemo { public static void main(String[] args) { //創建一個二叉樹 BinaryTree binaryTree = new BinaryTree(); HeroNode root = new HeroNode(1, "doodou"); HeroNode heroNode2 = new HeroNode(2, "smallmartial"); HeroNode heroNode3 = new HeroNode(3, "張三"); HeroNode heroNode4 = new HeroNode(4, "李四"); //先手動創建二叉樹 root.setLeft(heroNode2); root.setRiht(heroNode3); heroNode3.setRiht(heroNode4); binaryTree.setRoot(root); // // System.out.println("前序遍歷"); // binaryTree.preOrder(); // // System.out.println("中序遍歷"); // binaryTree.infixOrder(); // // System.out.println("後續序遍歷"); // binaryTree.postOrder(); // //前序遍歷 // System.out.println("前序遍歷方式"); // HeroNode resNode = binaryTree.preOrderSerch(4); // if (resNode != null){ // System.out.println("找到了信息爲no="+resNode.getNo()+"name="+resNode.getName()); // }else { // System.out.println("沒有找到 no ="+5); // } //測試刪除 System.out.println("刪除前"); binaryTree.preOrder(); binaryTree.delNode(4); System.out.println("刪除後"); binaryTree.preOrder(); } } //創建二叉樹 class BinaryTree{ private HeroNode root; public void setRoot(HeroNode root){ this.root = root; } public void delNode(int no){ if (root != null){ if (root.getNo() == no){ root = null; }else { root.delNode(no); } } } //前序遍歷 public void preOrder(){ if (this.root != null){ this.root.proOrder(); }else { System.out.println("二叉樹爲空,無法遍歷"); } } //中序遍歷 public void infixOrder(){ if (this.root != null){ this.root.infixOrder(); }else { System.out.println("二叉樹爲空,無法遍歷"); } } //後續遍歷 public void postOrder(){ if (this.root != null){ this.root.postOrder(); }else { System.out.println("二叉樹爲空,無法遍歷"); } } //前序遍歷查找 public HeroNode preOrderSerch(int no){ if (root != null){ return root.proOrderserch(no); }else { return null; } } //中序遍歷 public HeroNode infixOrderSearch(int no){ if (root != null){ return root.infixOrderSearch(no); }else { return null; } } //後續遍歷 public HeroNode postOrderSearch(int no ){ if (root != null){ return root.postOrderSerach(no); }else { return null; } } } class HeroNode{ private int no; private String name; private HeroNode left; private HeroNode right; public HeroNode(int no, String name) { this.no = no; this.name = name; } public int getNo() { return no; } public void setNo(int no) { this.no = no; } public String getName() { return name; } public void setName(String name) { this.name = name; } public HeroNode getLeft() { return left; } public void setLeft(HeroNode left) { this.left = left; } public HeroNode getRiht() { return right; } public void setRiht(HeroNode riht) { this.right = riht; } @Override public String toString() { return "HeroNode{" + "no=" + no + ", name='" + name + '\'' + ", left=" + left + ", riht=" + right + '}'; } //遞歸刪除節點 public void delNode(int no){ if (this.left != null &&this.left.no == no){ this.left = null; return; } if (this.right != null && this.right.no == no){ this.right = null; return; } //向左子樹遞歸刪除 if (this.left != null){ this.left.delNode(no); } //向右遞歸刪除 if (this.right != null){ this.right.delNode(no); } } //前序遍歷 public void proOrder(){ System.out.println(this); //遞歸向左子樹前序遍歷 if (this.left != null){ this.left.proOrder(); } //遞歸向右子樹前序遍歷 if (this.right != null){ this.right.proOrder(); } //中序遍歷 } //中序遍歷 public void infixOrder(){ //遞歸向左子樹中序遍歷 if (this.left != null){ this.left.infixOrder(); } //輸出父節點 System.out.println(this); //遞歸向右子樹中序遍歷 if (this.right != null){ this.right.infixOrder(); } } //後序遍歷 public void postOrder(){ if (this.left != null){ this.left.postOrder(); } if (this.right != null){ this.right.postOrder(); } System.out.println(this); } //前序遍歷查找 public HeroNode proOrderserch(int no){ if (this.no == no){ return this; } HeroNode resNode = null; if (this.left != null){ resNode = this.left.proOrderserch(no); } if (resNode != null){ return resNode; } if (this.right != null){ resNode = this.right.proOrderserch(no); } return resNode; } //中序遍歷查找 public HeroNode infixOrderSearch(int no){ HeroNode resNode = null; if (this.left != null){ resNode = this.left.infixOrderSearch(no); } if (resNode != null){ return resNode; } if (this.no == no){ return this; } if (this.right != null){ resNode = this.right.infixOrderSearch(no); } return resNode; } //後序遍歷 public HeroNode postOrderSerach(int no ){ HeroNode resNode = null; if (this.left != null){ resNode = this.left.infixOrderSearch(no); } if (resNode != null){ return resNode; } if (this.right != null){ resNode = this.right.infixOrderSearch(no); } if (this.no == no){ return this; } return resNode; } }
運行結果