本文目錄一覽:
- 1、JAVA:在一棵二叉鏈表表示的二叉樹中,採用哪種遍歷算法操作: 1.輸出葉子結點 2求葉子結點個數 我要編碼
- 2、java一個關於二叉樹的簡單編程題
- 3、寫一個java層次遍歷二叉樹,簡單點就可以,我要的是代碼,不是純文字說明
- 4、java實現二叉樹層次遍歷
- 5、java構建二叉樹算法
- 6、java Map 怎麼遍歷
JAVA:在一棵二叉鏈表表示的二叉樹中,採用哪種遍歷算法操作: 1.輸出葉子結點 2求葉子結點個數 我要編碼
暈死了,人家說用java實現
int i = 0;
void getChildren(int parentId) {
List list = “select * from table where parentId = “+parendId; //從數據庫獲取子節點
if(list.size() 0){
for(list) { //遍歷list,遞歸取子節點
getChildren(“aaa”); //遞歸取子節點
}
}else { //如果list為空,說明為子節點
System.out.println(parentId); //打印子節點
i++;
}
}
java一個關於二叉樹的簡單編程題
定義一個結點類:
public class Node {
private int value;
private Node leftNode;
private Node rightNode;
public Node getRightNode() {
return rightNode;
}
public void setRightNode(Node rightNode) {
this.rightNode = rightNode;
}
public int getValue() {
return value;
}
public void setValue(int value) {
this.value = value;
}
public Node getLeftNode() {
return leftNode;
}
public void setLeftNode(Node leftNode) {
this.leftNode = leftNode;
}
}
初始化結點樹:
public void initNodeTree()
{
int nodeNumber;
HashMapString, Integer map = new HashMapString, Integer();
Node nodeTree = new Node();
Scanner reader = new Scanner(System.in);
nodeNumber = reader.nextInt();
for(int i = 0; i nodeNumber; i++) {
int value = reader.nextInt();
String str = reader.next();
map.put(str, value);
}
if (map.containsKey(“#”)) {
int value = map.get(“#”);
nodeTree.setValue(value);
setChildNode(map, value, nodeTree);
}
preTraversal(nodeTree);
}
private void setChildNode(HashMapString, Integer map, int nodeValue, Node parentNode) {
int value = 0;
if (map.containsKey(“L” + nodeValue)) {
value = map.get(“L” + nodeValue);
Node leftNode = new Node();
leftNode.setValue(value);
parentNode.setLeftNode(leftNode);
setChildNode(map, value, leftNode);
}
if (map.containsKey(“R” + nodeValue)) {
value = map.get(“R” + nodeValue);
Node rightNode = new Node();
rightNode.setValue(value);
parentNode.setRightNode(rightNode);
setChildNode(map, value, rightNode);
}
}
前序遍歷該結點樹:
public void preTraversal(Node nodeTree) {
if (nodeTree != null) {
System.out.print(nodeTree.getValue() + “\t”);
preTraversal(nodeTree.getLeftNode());
preTraversal(nodeTree.getRightNode());
}
}
寫一個java層次遍歷二叉樹,簡單點就可以,我要的是代碼,不是純文字說明
public class BinaryNode {
Object element;
BinaryNode left;
BinaryNode right;
}
import java.util.*;
public class Queue {
protected LinkedList list;
// Postcondition: this Queue object has been initialized.
public Queue() {
list = new LinkedList();
} // default constructor
// Postcondition: the number of elements in this Queue object has been
// returned.
public int size() {
return list.size();
} // method size
// Postcondition: true has been returned if this Queue object has no
// elements. Otherwise, false has been returned.
public boolean isEmpty() {
return list.isEmpty();
} // method isEmpty
// Postconditon: A copy of element has been inserted at the back of this
// Queue object. The averageTime (n) is constant and
// worstTime (n) is O (n).
public void enqueue(Object element) {
list.addLast(element);
} // method enqueue
// Precondition: this Queue object is not empty. Otherwise,
// NoSuchElementException will be thrown.
// Postcondition: The element that was at the front of this Queue object –
// just before this method was called — has been removed
// from this Queue object and returned.
public Object dequeue() {
return list.removeFirst();
} // method dequeue
// Precondition: this Queue object is not empty. Otherwise,
// NoSuchElementException will be thrown.
// Postcondition: the element at index 0 in this Queue object has been
// returned.
public Object front() {
return list.getFirst();
} // method front
} // Queue class
import java.io.IOException;
public class BinaryTree {
BinaryNode root;
public BinaryTree() {
super();
// TODO 自動生成構造函數存根
root=this.createPre();
}
public BinaryNode createPre()
//按照先序遍歷的輸入方法,建立二叉樹
{
BinaryNode t=null;
char ch;
try {
ch = (char)System.in.read();
if(ch==’ ‘)
t=null;
else
{
t=new BinaryNode();
t.element=(Object)ch;
t.left=createPre();
t.right=createPre();
}
} catch (IOException e) {
// TODO 自動生成 catch 塊
e.printStackTrace();
}
return t;
}
public void inOrder()
{
this.inOrder(root);
}
public void inOrder(BinaryNode t)
//中序遍歷二叉樹
{
if(t!=null)
{
inOrder(t.left);
System.out.print(t.element);
inOrder(t.right);
}
}
public void postOrder()
{
this.postOrder(root);
}
public void postOrder(BinaryNode t)
//後序遍歷二叉樹
{
if(t!=null)
{
postOrder(t.left);
System.out.print(t.element);
postOrder(t.right);
}
}
public void preOrder()
{
this.preOrder(root);
}
public void preOrder(BinaryNode t)
//前序遍歷二叉樹
{
if(t!=null)
{
System.out.print(t.element);
preOrder(t.left);
preOrder(t.right);
}
}
public void breadthFirst()
{
Queue treeQueue=new Queue();
BinaryNode p;
if(root!=null)
treeQueue.enqueue(root);
while(!treeQueue.isEmpty())
{
System.out.print(((BinaryNode)(treeQueue.front())).element);
p=(BinaryNode)treeQueue.dequeue();
if(p.left!=null)
treeQueue.enqueue(p.left);
if(p.right!=null)
treeQueue.enqueue(p.right);
}
}
}
public class BinaryTreeTest {
/**
* @param args
*/
public static void main(String[] args) {
// TODO 自動生成方法存根
BinaryTree tree = new BinaryTree();
System.out.println(“先序遍歷:”);
tree.preOrder();
System.out.println();
System.out.println(“中序遍歷:”);
tree.inOrder();
System.out.println();
System.out.println(“後序遍歷:”);
tree.postOrder();
System.out.println();
System.out.println(“層次遍歷:”);
tree.breadthFirst();
System.out.println();
}
}
java實現二叉樹層次遍歷
import java.util.ArrayList;
public class TreeNode {
private TreeNode leftNode;
private TreeNode rightNode;
private String nodeName;
public TreeNode getLeftNode() {
return leftNode;
}
public void setLeftNode(TreeNode leftNode) {
this.leftNode = leftNode;
}
public TreeNode getRightNode() {
return rightNode;
}
public void setRightNode(TreeNode rightNode) {
this.rightNode = rightNode;
}
public String getNodeName() {
return nodeName;
}
public void setNodeName(String nodeName) {
this.nodeName = nodeName;
}
public static int level=0;
public static void findNodeByLevel(ArrayListTreeNode nodes){
if(nodes==null||nodes.size()==0){
return ;
}
level++;
ArrayListTreeNode temp = new ArrayList();
for(TreeNode node:nodes){
System.out.println(“第”+level+”層:”+node.getNodeName());
if(node.getLeftNode()!=null){
temp.add(node.getLeftNode());
}
if(node.getRightNode()!=null){
temp.add(node.getRightNode());
}
}
nodes.removeAll(nodes);
findNodeByLevel(temp);
}
/**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
TreeNode root = new TreeNode();
root.setNodeName(“root”);
TreeNode node1 = new TreeNode();
node1.setNodeName(“node1”);
TreeNode node3 = new TreeNode();
node3.setNodeName(“node3”);
TreeNode node7 = new TreeNode();
node7.setNodeName(“node7”);
TreeNode node8 = new TreeNode();
node8.setNodeName(“node8”);
TreeNode node4 = new TreeNode();
node4.setNodeName(“node4”);
TreeNode node2 = new TreeNode();
node2.setNodeName(“node2”);
TreeNode node5 = new TreeNode();
node5.setNodeName(“node5”);
TreeNode node6 = new TreeNode();
node6.setNodeName(“node6”);
root.setLeftNode(node1);
node1.setLeftNode(node3);
node3.setLeftNode(node7);
node3.setRightNode(node8);
node1.setRightNode(node4);
root.setRightNode(node2);
node2.setLeftNode(node5);
node2.setRightNode(node6);
ArrayListTreeNode nodes = new ArrayListTreeNode();
nodes.add(root);
findNodeByLevel(nodes);
}
}
java構建二叉樹算法
//******************************************************************************************************//
//*****本程序包括簡單的二叉樹類的實現和前序,中序,後序,層次遍歷二叉樹算法,*******//
//******以及確定二叉樹的高度,制定對象在樹中的所處層次以及將樹中的左右***********//
//******孩子節點對換位置,返回葉子節點個數刪除葉子節點,並輸出所刪除的葉子節點**//
//*******************************CopyRight By phoenix*******************************************//
//************************************Jan 12,2008*************************************************//
//****************************************************************************************************//
public class BinTree {
public final static int MAX=40;
private Object data; //數據元數
private BinTree left,right; //指向左,右孩子結點的鏈
BinTree []elements = new BinTree[MAX];//層次遍歷時保存各個節點
int front;//層次遍歷時隊首
int rear;//層次遍歷時隊尾
public BinTree()
{
}
public BinTree(Object data)
{ //構造有值結點
this.data = data;
left = right = null;
}
public BinTree(Object data,BinTree left,BinTree right)
{ //構造有值結點
this.data = data;
this.left = left;
this.right = right;
}
public String toString()
{
return data.toString();
}//前序遍歷二叉樹
public static void preOrder(BinTree parent){
if(parent == null)
return;
System.out.print(parent.data+” “);
preOrder(parent.left);
preOrder(parent.right);
}//中序遍歷二叉樹
public void inOrder(BinTree parent){
if(parent == null)
return;
inOrder(parent.left);
System.out.print(parent.data+” “);
inOrder(parent.right);
}//後序遍歷二叉樹
public void postOrder(BinTree parent){
if(parent == null)
return;
postOrder(parent.left);
postOrder(parent.right);
System.out.print(parent.data+” “);
}// 層次遍歷二叉樹
public void LayerOrder(BinTree parent)
{
elements[0]=parent;
front=0;rear=1;
while(frontrear)
{
try
{
if(elements[front].data!=null)
{
System.out.print(elements[front].data + ” “);
if(elements[front].left!=null)
elements[rear++]=elements[front].left;
if(elements[front].right!=null)
elements[rear++]=elements[front].right;
front++;
}
}catch(Exception e){break;}
}
}//返回樹的葉節點個數
public int leaves()
{
if(this == null)
return 0;
if(left == nullright == null)
return 1;
return (left == null ? 0 : left.leaves())+(right == null ? 0 : right.leaves());
}//結果返回樹的高度
public int height()
{
int heightOfTree;
if(this == null)
return -1;
int leftHeight = (left == null ? 0 : left.height());
int rightHeight = (right == null ? 0 : right.height());
heightOfTree = leftHeightrightHeight?rightHeight:leftHeight;
return 1 + heightOfTree;
}
//如果對象不在樹中,結果返回-1;否則結果返回該對象在樹中所處的層次,規定根節點為第一層
public int level(Object object)
{
int levelInTree;
if(this == null)
return -1;
if(object == data)
return 1;//規定根節點為第一層
int leftLevel = (left == null?-1:left.level(object));
int rightLevel = (right == null?-1:right.level(object));
if(leftLevel0rightLevel0)
return -1;
levelInTree = leftLevelrightLevel?rightLevel:leftLevel;
return 1+levelInTree;
}
//將樹中的每個節點的孩子對換位置
public void reflect()
{
if(this == null)
return;
if(left != null)
left.reflect();
if(right != null)
right.reflect();
BinTree temp = left;
left = right;
right = temp;
}// 將樹中的所有節點移走,並輸出移走的節點
public void defoliate()
{
String innerNode = “”;
if(this == null)
return;
//若本節點是葉節點,則將其移走
if(left==nullright == null)
{
System.out.print(this + ” “);
data = null;
return;
}
//移走左子樹若其存在
if(left!=null){
left.defoliate();
left = null;
}
//移走本節點,放在中間表示中跟移走…
innerNode += this + ” “;
data = null;
//移走右子樹若其存在
if(right!=null){
right.defoliate();
right = null;
}
}
/**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
BinTree e = new BinTree(“E”);
BinTree g = new BinTree(“G”);
BinTree h = new BinTree(“H”);
BinTree i = new BinTree(“I”);
BinTree d = new BinTree(“D”,null,g);
BinTree f = new BinTree(“F”,h,i);
BinTree b = new BinTree(“B”,d,e);
BinTree c = new BinTree(“C”,f,null);
BinTree tree = new BinTree(“A”,b,c);
System.out.println(“前序遍歷二叉樹結果: “);
tree.preOrder(tree);
System.out.println();
System.out.println(“中序遍歷二叉樹結果: “);
tree.inOrder(tree);
System.out.println();
System.out.println(“後序遍歷二叉樹結果: “);
tree.postOrder(tree);
System.out.println();
System.out.println(“層次遍歷二叉樹結果: “);
tree.LayerOrder(tree);
System.out.println();
System.out.println(“F所在的層次: “+tree.level(“F”));
System.out.println(“這棵二叉樹的高度: “+tree.height());
System.out.println(“————————————–“);
tree.reflect();
System.out.println(“交換每個節點的孩子節點後……”);
System.out.println(“前序遍歷二叉樹結果: “);
tree.preOrder(tree);
System.out.println();
System.out.println(“中序遍歷二叉樹結果: “);
tree.inOrder(tree);
System.out.println();
System.out.println(“後序遍歷二叉樹結果: “);
tree.postOrder(tree);
System.out.println();
System.out.println(“層次遍歷二叉樹結果: “);
tree.LayerOrder(tree);
System.out.println();
System.out.println(“F所在的層次: “+tree.level(“F”));
System.out.println(“這棵二叉樹的高度: “+tree.height());
}
java Map 怎麼遍歷
java Map 遍歷一般有四種方式
方式一: 這是最常見的並且在大多數情況下也是最可取的遍歷方式。在鍵值都需要時使用。
方式二: 在for-each循環中遍歷keys或values。
如果只需要map中的鍵或者值,你可以通過keySet或values來實現遍歷,而不是用entrySet。
該方法比entrySet遍歷在性能上稍好(快了10%),而且代碼更加乾淨。
方式三:使用Iterator遍歷
使用泛型:
不使用泛型:
你也可以在keySet和values上應用同樣的方法。
方法四: 通過鍵找值遍歷(效率低)
作為方法一的替代,這個代碼看上去更加乾淨;但實際上它相當慢且無效率。
因為從鍵取值是耗時的操作(與方法一相比,在不同的Map實現中該方法慢了20%~200%)。如果安裝了FindBugs,它會做出檢查並警告你關於哪些是低效率的遍歷。所以盡量避免使用。
總結:
如果僅需要鍵(keys)或值(values)使用方法二。
如果所使用的語言版本低於java 5,或是打算在遍歷時刪除entries,必須使用方法三。
否則使用方法一(鍵值都要)。
擴展資料:
類似的遍歷算法:
二叉樹的遍歷算法
1、先(根)序遍歷的遞歸算法定義:
若二叉樹非空,則依次執行如下操作:
⑴ 訪問根結點;
⑵ 遍歷左子樹;
⑶ 遍歷右子樹。
2、中(根)序遍歷的遞歸算法定義:
若二叉樹非空,則依次執行如下操作:
⑴遍歷左子樹;
⑵訪問根結點;
⑶遍歷右子樹。
3、後(根)序遍歷得遞歸算法定義:
若二叉樹非空,則依次執行如下操作:
⑴遍歷左子樹;
⑵遍歷右子樹;
⑶訪問根結點。
參考資料:百度百科——Java
原創文章,作者:小藍,如若轉載,請註明出處:https://www.506064.com/zh-hant/n/242281.html