标签:datastore front pre for play type clear 数据结构与算法 node
队列: 先进先出,尾添加,头删除.
<script type="text/javascript"> //队列,先进先出,尾添加,头删除. function Queue() { // var _enqueue = function(element) { this.dataStore.push(element); } // var _dequeue = function() { return this.dataStore.shift(); } // var _front = function() { return this.dataStore[0]; } // var _back = function() { return this.dataStore[this.dataStore.length - 1] } // var _toString = function() { var retStr = ""; for (var i = 0; i < this.dataStore.length; ++i) { retStr += this.dataStore[i] + "\n"; } return retStr; } // var _empty = function() { if (this.dataStore.length == 0) { return true; } else { return false; } } // this.dataStore = []; // this.enqueue = _enqueue; this.dequeue = _dequeue; this.front = _front; this.back = _back; this.toString = _toString; this.empty = _empty; } // var q= new Queue(); q.enqueue(‘yujj‘); q.enqueue(‘Zzc‘); q.enqueue(‘Fjb‘); console.log(q); q.dequeue(); console.log(q); // console.log(q.toString()); // console.log(q.front()); console.log(q.back()); // </script>
链表
<script type="text/javascript"> //链表, function Llist(){ //内存单元 var Node = function(element) { this.element = element; this.next = null; } //查找 var _find = function(item) { var currNode = this.head; while (currNode.element != item) { currNode = currNode.next; } return currNode; } //添加单元 var _insert = function(newElement, item) { var newNode = new Node(newElement); var current = this.find(item); // newNode.next = current.next; current.next = newNode; } // var _display = function() { var currNode = this.head; while (!(currNode.next == null)) { currNode = currNode.next; } } // var _findPrevious = function(item) { var currNode = this.head; while (!(currNode.next == null) && (currNode.next.element !== item)) { currNode = currNode.next; } return currNode; } //删除单元 var _remove = function(item) { var prevNode = this.findPrevious(item); if (!(prevNode.next == null)) { prevNode.next = prevNode.next.next; } } // this.head = new Node("head"); this.find = _find; this.insert = _insert; this.remove = _remove; this.display = _display; this.findPrevious = _findPrevious; } // var cities = new Llist(); cities.insert("Conway", "head"); cities.insert("Russellville", "Conway"); cities.insert("Alma", "Russellville"); cities.insert("yuq", "Conway"); // cities.display(); console.log(cities); cities.remove(‘Conway‘); console.log(cities); </script>
栈:后进先出
<script type="text/javascript"> //栈 function Stack() { //入栈 var _push = function(element){ _this.dataStore[_this.top++] = element; } //出栈 var _pop = function(){ delete _this.dataStore[_this.top-1]; _this.top--; // return data; } //返回栈顶元素 var _peek = function(){ return _this.dataStore[_this.top-1] } // var _clear = function() { _this.dataStore = []; _this.top = 0; } // var _length = function() { return _this.top; } // this.dataStore = []; this.top = 0; // this.push = _push; this.pop = _pop; this.peek = _peek; this.length = _length; this.clear = _clear; // var _this = this; } var s = new Stack(); s.push(‘Yuq‘); s.push(‘Yujj‘); // console.log(s); s.pop(); console.log(s); s.push(‘Zhcl‘); console.log(s.length()); console.log(s); // console.log(s.peek()); s.push(‘Fujb‘); console.log(s); console.log(s.clear()); console.log(s); console.log(s.peek()); </script>
散列:
<script type="text/javascript"> function HashTable() { // var _simpleHash = function(data) { var total = 0; for (var i = 0; i < data.length; ++i) { total += data.charCodeAt(i); } // return total % this.table.length; } // var _betterHash = function(string) { const H = 37; var total = 0; // for (var i = 0; i < string.length; ++i) { total += H * total + string.charCodeAt(i); } // total = total % this.table.length; // if (total < 0) { total += this.table.lenght - 1; } // return parseInt(total); } // var _showDistro = function() { var n = 0; for (var i = 0; i < this.table.length; ++i) { if (this.table[i] != undefined) { console.log(this.table[i]); } } } // var _put = function(data) { // var pos=this.simpleHash(data); var pos = this.betterHash(data); console.log(pos); this.table[pos] = data; } // this.table = new Array(137); this.simpleHash = _simpleHash; this.showDistro = _showDistro; this.betterHash = _betterHash; this.put = _put; //this.get = _get; } // var someNames = [‘David‘, ‘Jennifer‘, ‘Donnie‘, ‘Raymond‘, ‘Cynthia‘, ‘Mike‘, ‘Clayton‘, ‘Danny‘, ‘Jonathan‘]; var htable = new HashTable(); // for (var i = 0; i < someNames.length; ++i) { htable.put(someNames[i]); } // console.log(htable); // htable.showDistro(); </script>
字典
<script type="text/javascript"> //字典,key=>val 键值对 function Dictionary() { var _add = function(key,val) { this.datastore[key] = val; this.datastore.length++; } // var _find = function(key) { return this.datastore[key]; } // var _remove = function(key) { delete this.datastore[key]; this.datastore.length--; } // var _showAll = function() { for(var key in Object.keys(this.datastore)) { console.log(this.datastore[key]); } } // var _count = function() { var n=0; for(var key in Object.keys(this.datastore)) { ++n; } return n; } // var _clear = function() { for(var key in this.datastore) { delete this.datastore[key]; } this.datastore.length = 0; } // this.add = _add; this.datastore = new Array(); this.find = _find; this.remove = _remove; this.showAll = _showAll; this.count = _count; this.clear = _clear; } // var pbook = new Dictionary(); pbook.add("raymond",‘123‘); pbook.add("David",‘345‘); pbook.add("Cynthia","456"); // pbook.remove(‘Cynthia‘); // console.log(pbook); console.log(pbook.count()); console.log(pbook.find(‘David‘)); //pbook.clear(); // console.log(pbook); </script>
双向链表
<script type="text/javascript"> //双向链表 function Llist(){ //内存单元 var Node = function(element) { this.element = element; this.next = null; this.previous =null; } //查找 var _find = function(item) { var currNode = this.head; while (currNode.element != item) { currNode = currNode.next; } return currNode; } //添加单元 var _insert = function(newElement, item) { var newNode = new Node(newElement); var current = this.find(item); // newNode.next = current.next; newNode.previous = current; current.next = newNode; } // var _display = function() { var currNode = this.head; while (!(currNode.next == null)) { currNode = currNode.next; } } // var _findPrevious = function(item) { var currNode = this.head; while (!(currNode.next == null) && (currNode.next.element !== item)) { currNode = currNode.next; } return currNode; } //删除单元 var _remove = function(item) { var currNode = this.find(item); if(!(currNode.next == null)) { currNode.previous.next = currNode.next; currNode.next.previous = currNode.previous; currNode.next = null; currNode.previous = null; } } // var _findLast = function() { var currNode = this.head; while(!(currNode.next == null)) { currNode = currNode.next; } return currNode; } // var _dispReverse = function() { var currNode = this.head; currNode = this.findLast(); while(!(currNode.previous ==null)) { console.log(currNode.element); currNode = currNode.previous; } } // this.head = new Node("head"); this.find = _find; this.insert = _insert; this.remove = _remove; this.display = _display; this.findPrevious = _findPrevious; this.findLast = _findLast; this.dispReverse = _dispReverse; } // var cities = new Llist(); cities.insert("Conway", "head"); cities.insert("Russellville", "Conway"); cities.insert("Alma", "Russellville"); cities.insert("yuq", "Conway"); // cities.display(); console.log(cities); cities.remove(‘Conway‘); console.log(cities); </script>
列表
<script type="text/javascript"> //列表描述 function list() { // var _clear = function(){ delete _this.dataStore; _this.dataStore = []; _this.listsSize = _this.pos = 0; } //查找 var _find =function(element){ for(var i=0; i<_this.listsSize; i++) { if(_this.dataStore[i] === element) { _this.pos = i; return i; break; } } return -1; } // var _toString =function(){ return _this.dataStore.toString(); } // var _insert =function(element,after){ var insertPos = _this.find(after); if(insertPos > -1) { _this.dataStore.splice(insertPos+1,0,element); ++_this.listsSize; return true; } return false; } var _append =function(element){ _this.dataStore[_this.listsSize++] = element; _this.pos++; } var _remove =function(element){ var foundAt = _find(element); if(foundAt>-1) { _this.dataStore.splice(foundAt,1); --_this.listsSize; return false; } } var _front =function(){ _this.pos=0; } var _end =function(){ _this.pos = this.listsSize-1; } var _prev =function(){ if(_this.pos > 0) { --this.pos; } } var _next =function(){ if(_this.pos < _this.listsSize-1) { ++_this.pos; } } var _currPos =function(){ return _this.pos; } var _moveTo =function(position){ _this.pos = position; } var _getElement =function(){ return _this.dataStore[_this.pos]; } var _length =function(){ return _this.listsSize; } var _contains =function(element){ for(var i =0; i<_this.dataStore.length; ++i) { if(_this.dataStore[i] == element) { return true; } } return false; } //属性 this.listsSize = 0; //个数 this.pos = 0; //当前位置 this.dataStore = []; //数据保存 //方法 this.clear = _clear; //清空列表元素 this.find = _find; //查找 this.toString = _toString; //返回列表字符串形式 this.insert = _insert; //现有元素后插入新元素 this.append = _append; //在列表的未尾插入新元素 this.remove = _remove; //从列表中删除元素 this.front = _front; //将列表的当前位置设移动到第一个元素 this.end = _end;//将列表的当前位置设移动到最后元素 this.prev = _prev;//将当前位置前置一位 this.next = _next;//将当前位置后置一位 this.currPos = _currPos;//返回当前位置 this.moveTo = _moveTo; //当前位置移动到指定位置 this.getElement = _getElement; //返回当前位置的元素 this.length = _length; //返回列表中元素个数 this.contaics = _contains; //判断值是否在列表中 // var _this = this; } // var names = new list(); // names.append("Zcl"); names.append("Yyj"); names.append("Yuq"); names.append("Wpq"); names.append("Fjb"); names.append("Chj"); // names.front(); names.next(); console.log(names); // names.next(); names.next(); names.prev(); console.log(names); // console.log(names.find(‘Wpq‘)); // //names.clear(); console.log(names); names.insert(‘Insert‘,‘Wpq‘); console.log(names); names.remove(‘Wpq‘); console.log(names); names.end(); console.log(names); console.log(names.currPos()); console.log(names.length()); console.log(names.contaics(‘Insert‘)); </script>
二叉树,递归遍历:
<script type="text/javascript"> /** * 二叉查找树是一种特殊的二叉树,相对较小的值保存在左节点中,较大的值保存在右节点中。 * 这一特性使得查找的效率很高。 */ // http://blog.csdn.net/sjf0115/article/details/8645991 //二叉树 function Tree() { //节点 var Node = function(data,left,right) { var _show = function() { return this.data; } // this.data = data; this.left = left; this.right = right; this.show = _show; } //添加节点 var _insert = function(data) { var n = new Node(data,null,null); if(this.root == null) { this.root = n; } else { var current = this.root; var parent; // while(true) { parent = current; // if(data < current.data) { current = current.left; if(current == null) { parent.left = n; break; } } else { current = current.right; if(current==null) { parent.right = n; break; } } } } } /* 前序遍历:根节点->左子树->右子树 中序遍历:左子树->根节点->右子树 后序遍历:左子树->右子树->根节点 */ //中序遍历 var _inOrder = function(node) { if(!(node == null)) { _inOrder(node.left); _this.showData += node.show()+‘,‘; _inOrder(node.right); } } //先序遍历 var _proOrder = function(node) { if(!(node == null)) { _this.showData += node.show()+‘,‘; _proOrder(node.left); _proOrder(node.right); } } //后序遍历 var _postOrder = function(node) { if(!(node == null)) { _postOrder(node.left); _postOrder(node.right); _this.showData += node.show()+‘,‘; } } //先序遍历(非递归) var _proOrder2 = function(node) { //模拟栈 var arr = []; //p是遍历指针 var p = node; //栈不空或者p不空时循环 while( p!=null || arr.length !=0) { if(p != null) { //存入栈中 arr.push(p); _this.showData += p.show()+‘,‘; //遍历左子树 p = p.left; } else { p = arr.shift(); p = p.right; } } } //中序遍历(非递归) var _inOrder2 = function(node) { // if(node == null) { return; } // var stack = []; //创建一个空栈 var node_pop; //用来保存出栈节点 var pCur = node; //定义指向当前访问的节点的指针 // while(pCur!=null || stack.length!=0) { if(pCur && pCur.left != null) { // stack.push(pCur); pCur = pCur.left; console.log(pCur); } else { // pCur && console.log(pCur.data); if(pCur) { pCur = pCur.right; } // while( pCur == null && stack.length!=0) { pCur = stack[‘0‘]; console.log(pCur.data); // pop_stack(stack,&node_pop); pCur = pCur.right; } pCur = null; // } } } //后序遍历(非递归) var _postOrder2 = function(node) { // if(node == null) { return; } //栈节点结构 var snode = function(node,num) { this.p = node; //p二叉树节点结构, this.rvisited = num ? 1 :0 ; //rvisited:1代表p所指向的节点的右节点已被访问过 } //栈 var stack = []; var p =node; // while( p!= null) { if(p != null) { var _node = new snode(p); stack.push(_node); } p = p.left; } // while(!stack.length == 0) { var sn = stack[‘0‘]; //若其右孩子已经被访问过,或是该元素没有右孩子. if(sn.p.right == null || sn.rvisited) { p = stack.shift(); // console.log(p.p.data); _this.showData += p.p.show()+‘,‘; } //若它的右孩子存在且rvisited为0,说明以前还没有动过它的右孩子,于是就去处理一下其右孩子。 else { sn.rvisited = 1; sn.p ? (p = sn.p.right) : p = null; // while(p != null) { var _node = new snode(p); stack.push(_node); p = p.left; } } } } //分层遍历,(按层次从上往下,从左往右[从右往左]) var _layerOrder = function(node) { var arr = []; arr.push(node); while(arr.length) { var pNode = arr.pop(); _this.showData += pNode.show()+‘,‘; // if(pNode.right != null) { arr.push(pNode.right); } if(pNode.left != null) { arr.push(pNode.left); } } } //查找最小值 var _getMin = function() { var current = this.root; while(!(current.left ==null)) { current = current.left; } return current.data; } //查找最大值 var _getMax = function() { var current = this.root; while(!(current.right ==null)) { current = current.right; } return current.data; } //查找 var _find = function(data){ var current = this.root; while(current != null) { if(current.data == data) { return current; } else if(data<current.data) { current = current.left; } else { current = current.right; } } } //删除 var _remove = function(data) { this.root = this.removeNode(this.root,data); } //删除节点 var _removeNode = function(node,data) { if(node == null) { return null; } // if(data == node.data) { //没有子节点的节点 if(node.left == null && node.right ==null) { return null; } //没有左子节点的节点 if(node.left == null) { return node.right; } //没有右子节点的节点 if(node.right == null) { return node.left; } //有两个子节点的节点 var tempNode = this.getSmallest(node.right); // node.data = tempNode.data; node.right = this.removeNode(node.right,tempNode.data); return node; } else if(data < node.data) { node.left = this.removeNode(node.left,data); return node; } else { node.right = this.removeNode(node.right,data); return node; } } //查找左边最小节点 var _getSmallest = function(treeNode) { var current = treeNode; while(!(current.left ==null)) { current = current.left; } return current; } // this.root = null; //添加 this.insert = _insert; //递归遍历 this.inOrder = _inOrder; this.proOrder = _proOrder; this.postOrder = _postOrder; this.layerOrder =_layerOrder; //非递归遍历 this.proOrder2 = _proOrder2; this.postOrder2 = _postOrder2; this.inOrder2 = _inOrder2; //查找 this.getMin = _getMin; this.getMax = _getMax; this.find = _find; //删除 this.remove = _remove; this.removeNode =_removeNode; this.getSmallest = _getSmallest; // this.showData = ‘‘; var _this = this; } // var nums = new Tree(); // nums.insert(56); nums.insert(22); nums.insert(81); nums.insert(10); nums.insert(30); nums.insert(77); nums.insert(92); // nums.insert(6); nums.insert(11); nums.insert(29); nums.insert(32); nums.insert(76); nums.insert(78); nums.insert(89); nums.insert(94); /* */ // console.log(nums); // console.log("中序遍历:"); nums.inOrder(nums.root); console.log(nums); // console.log("先序遍历:"); nums.showData = []; nums.proOrder(nums.root); console.log(nums); // console.log("后序遍历:"); nums.showData = []; nums.postOrder(nums.root); console.log(nums); // console.log("分层遍历:"); nums.showData = []; nums.layerOrder(nums.root); console.log(nums); // console.log("先序遍历(非递归):"); nums.showData = []; nums.proOrder2(nums.root); console.log(nums); // console.log("后序遍历(非递归):"); nums.showData = []; nums.postOrder2(nums.root); console.log(nums); // console.log("中序遍历(非递归):"); nums.showData = []; nums.inOrder2(nums.root); console.log(nums); // console.log("最小值:"); console.log(nums.getMin()); console.log("最大值:"); console.log(nums.getMax()); // console.log("查找:92"); console.log(nums.find(‘92‘)); // console.log("删除节点:81"); nums.remove(‘81‘); // console.log("中序遍历:"); nums.showData = []; nums.inOrder(nums.root); console.log(nums); // </script>
二叉树,非递归遍历:
<script type="text/javascript"> /** * 二叉查找树是一种特殊的二叉树,相对较小的值保存在左节点中,较大的值保存在右节点中。 * 这一特性使得查找的效率很高。 */ // http://blog.csdn.net/sjf0115/article/details/8645991 //二叉树 function Tree() { //节点 var Node = function(data,left,right) { var _show = function() { return this.data; } // this.data = data; this.left = left; this.right = right; this.show = _show; } //添加节点 var _insert = function(data) { var n = new Node(data,null,null); if(this.root == null) { this.root = n; } else { var current = this.root; var parent; // while(true) { parent = current; // if(data < current.data) { current = current.left; if(current == null) { parent.left = n; break; } } else { current = current.right; if(current==null) { parent.right = n; break; } } } } } /* 前序遍历:根节点->左子树->右子树 中序遍历:左子树->根节点->右子树 后序遍历:左子树->右子树->根节点 */ //分层遍历,(按层次从上往下,从左往右[从右往左]) var _layerOrder = function(node) { var arr = []; arr.push(node); while(arr.length) { var pNode = arr.pop(); _this.showData += pNode.show()+‘,‘; // if(pNode.right != null) { arr.push(pNode.right); } if(pNode.left != null) { arr.push(pNode.left); } } } //先序遍历(非递归) var _proOrder2 = function(node) { //模拟栈 var arr = []; //p是遍历指针 var p = node; //栈不空或者p不空时循环 while( p!=null || arr.length !=0) { if(p != null) { //存入栈中 arr.push(p); _this.showData += p.show()+‘,‘; //遍历左子树 p = p.left; } else { p = arr.shift(); p = p.right; } } } //中序遍历(非递归) var _inOrder2 = function(node) { } //后序遍历(非递归) var _postOrder2 = function(node) { //栈节点结构 var snode = function(node,num) { this.p = node; //p二叉树节点结构, this.rvisited = num ? 1 :0 ; //rvisited:1代表p所指向的节点的右节点已被访问过 } //栈 var stack = []; var p =node; // while( p!= null) { var _node = new snode(p); stack.push(_node); p = p.left; } // while(!stack.length == 0) { var sn = stack[‘0‘]; //若其右孩子已经被访问过,或是该元素没有右孩子. if(sn.p.right == null || sn.rvisited) { p = stack.shift(); //出栈 _this.showData += p.p.show()+‘,‘; } //若它的右孩子存在且rvisited为0,说明以前还没有动过它的右孩子,于是就去处理一下其右孩子。 else { sn.rvisited = 1; sn.p ? (p = sn.p.right) : p = null; // while(p != null) { var _node = new snode(p); stack.push(_node); p = p.left; } } } } // this.root = null; //添加 this.insert = _insert; //非递归遍历 this.proOrder2 = _proOrder2; this.postOrder2 = _postOrder2; this.inOrder2 = _inOrder2; this.layerOrder = _layerOrder; // this.showData = ‘‘; var _this = this; } // var nums = new Tree(); // nums.insert(56); nums.insert(22); nums.insert(81); nums.insert(10); nums.insert(30); nums.insert(77); nums.insert(92); // nums.insert(6); nums.insert(11); nums.insert(29); nums.insert(32); nums.insert(76); nums.insert(78); nums.insert(89); nums.insert(94); /* */ // console.log("分层遍历(非递归):"); nums.showData = []; nums.layerOrder(nums.root); console.log(nums); // console.log("先序遍历(非递归):"); nums.showData = []; nums.proOrder2(nums.root); console.log(nums); // console.log("后序遍历(非递归):"); nums.showData = []; nums.postOrder2(nums.root); console.log(nums); // console.log("中序遍历(非递归):"); nums.showData = []; nums.inOrder2(nums.root); console.log(nums); // </script>
标签:datastore front pre for play type clear 数据结构与算法 node
原文地址:http://www.cnblogs.com/ytb-wpq/p/6598941.html