JAVA单链表实现
#单链表的数据结构 public singleLinkedList(){ private int size; private Node head; public singleLInkedList(){ this.size = 0; this.head = Null; } private class Node(Object data){ Object data; Node next; public Node(Object data){ this.data = data; } } //添加头节点 public Object addHeadNode(Object data){ Node newHead = new Node(data); if(size == 0) head = newHead; else{ newHead.next = head; head = neaHead; } size++; return data; } //在头部删除元素 public Object deleteHeadNode(){ Object data = head.data; head = head.next; size--; return data; } //查找指定元素,找到了返回Node,找不到返回Null public Node find(Object data){ //设定指针遍历 Node current = head; while(current != null){ if(current.next.data == data) return curren else current = current.next; } return null; } //删除指定的元素,删除成功返回true public boolean delete(Object data){ Node curren = head; while(current.next.data!=data&¤t.next!=null){ current = current.next; } if(current.next != null){ current.next = current.next.next; size--; return true; } else return false; } //判断链表是否未空 public boolean isEmpty(){ if(size>0) return false; else return true; } }
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二叉树
//节点类 Class Node{ Object data; Node leftChild; Node rightChild; public Node(Object data){ this.data = data; } } //二叉树类 class BinaryTree{ private Node root = null; public BinaryTree(Object data){ root = new Node(data); root.leftChild = null; root.rightChild = null; } public Node getRoot(){ return root; } //先序遍历查找 public Node findKey(Node node,Object key){ if(node == null) return null; if(node.data == key) return node; findKey(node.leftChild,key); findKey(node.rightChild,key); } //先序遍历 public void preOrder(Node node){ if(node){ System.out.println(node.data); preOrder(node.leftChild); preOrder(node.leftChild); } } //后序 //中序... //树的深度 public int getDepth(Node node){ if (node == null) return 0; else{ int left = getDepth(node.leftChild); int right = getDepth(node.rightChild); if(left>right) return left+1; else return right+1; } } //二叉树中节点个数 public int getNodeCount(Node node){ if(node == null) return 0; else{ int left = getNodeCount(node.leftChild); int right = getNodeCount(node.rightChild); return lef+right+1; } } //二叉树叶子节点数 public int getLeavsCount(Node node){ if(node == null) return 0; if(node.leftChild == null && node.rightChild = null) return 1; else{ left = getLeavsCount(node.leftChild); right = getLeavsCount(node.rightChild); return left+right; } } //计算二叉树度为1的节点 public int getNode1Count(Node node){ if(node == null ) return 0; if((node.leftChild != null && node.rightChild == null )|| (node.lefChild == null&& node.rightChild != null)) { return 1; } else{ left = getNode1Count(node.leftChild); rigth = getNode1Count(node.rightChild); return left+right; } } //交换左右节点,先序,后序都可以 public void ExchangeTree(Node node){ if(node){ Node temp = new Node(); temp = node.rightChild; node.rigthChild = node.leftChild; node.leftChild = temp; ExchangeTree(node.leftChild); ExchangeTree(node.rightChild); } } //层次遍历二叉树 //层次遍历二叉树,用队列实现,JAVA队列可以用LinkedList pull,add方法实现,或者直接用Queue public void leveOrder(Node node){ if(node){ Queue<Node> queue = new Queue<Node>(); queue.add(node); while(!queue.isEmpty()){ Node cur = queue.poll(); System.out.print(cur.data); if(cur.leftChild != null) queue.add(cur.leftChild); if(cur.rightChild != null) queue.add(cur.rightChuld); } } } }
二叉查找树
#二叉查找树 private class Node(){ Object data; Node leftChild; Node rightChild; public Node(Object data){ this.data = data this.leftChild = null; this.rightChild = null; } } public class BinarySearchTree(){ Node root; public BinarySearchTree(){ root = null; } //contains public boolean contains(Object data,Node t){ if(t == null) return false; else{ if(t.data < data) return contains(x,t.rightChild); if(t.data > data) return contains(x,t.leftChild); else return true; } } public Node insert(Object data,Node t){ if(t == null){ Node node = new Node(data); return node; } if(t.data > data) return insert(data,t.leftChild); if(t.data < data) return insert(data,t.leftChild); else return t; } public Node findMin(Node t){ if(t == null) return nll; else{ if(t.leftChild == null) return t; else return findMin(t.leftChild); } } public Node findMax(node t){ if(t == null) return null; else{ if(t.rightChild == null) return t; else return findMin(t.rightChild); } } }