data structures and algorithms pdf

if(Head.next.data.equals (key)) { theSystem.out.print ("Query node:" + key + ","); theSystem.out.print ("Query node predecessor node is:" + Head.data + ","); the if(Head.next.next! =NULL) {98SYSTEM.OUT.PRINTLN ("Query node post node is:" +head.next.next.data); About}Else { -SYSTEM.OUT.PRINTLN ("Query node is tail node!"));101 }102 return;103 }104Head =Head.next; the }106System.out.println ("No this node!"));107

Time Test This book uses a practical method to analyze the data structures and algorithms to be studied. We prefer to use a simple benchmarking method instead of Big O analysis. This test tells us how many seconds (or other time units) it takes to run a code segment. Our benchmark test time test measures the time it takes to run an algorithm. Benchmarking is a sc

){ if(Array[j] key) {Array[i+ +] = Array[j];//A[i] = a[j]; i + = 1; Break; }; } for(; i ){ if(Array[i] >key) {Array[j--] =Array[i]; Break; }}} Array[i]=key; Sort (0, i); Sort (i+ 1, numsize); }} sort (0, Array.Length); returnArray;}There is also an easy-to-understand approach:Set two empty arrays left and right, traverse the entire array, and push in to leave if it encounters less critical

This article mainly introduces the binary tree of JavaScript Data Structures and Algorithms. This article describes the concept of binary tree, the characteristics of binary tree, the definition of binary tree nodes, and the maximum and minimum values for searching, for more information, see Binary Tree concept A Binary Tree is a finite set of n (n> = 0) nodes.

var arraynumber: [Int] = [2,4, 6, 7, 3, 8, 1]Bubble sortfunc Maopao (var array: [int]), [int] { for var i = 0; i count; i++ { for var j = I;j count; j + + {if array[j] > array[j +1] {var temp = Array[j]ARRAY[J] = array[j+1]array[j+1] = Temp}}}return Array} Let array2 =maopao([2,4, 6, 7, 3, 8, 9 , 5])Cond... Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Swift sorting algorithms and

Huashan Big BroSort by: Topological sorting algorithmDictionary ordering algorithmProgramming Zhu Ji Nanxiong: Ordering by bitmapTree: Red and Black tree summaryB + Tree and b* Tree SummaryB-Tree Summary SummaryBalanced binary tree (AVL tree) Summarytrie--Dictionary TreeGraph traversal: Depth-first traversal and breadth-first traversalMinimum spanning tree: minimum spanning tree-prim algorithm and Kruskal algorithmShortest path: Shortest path-dijkstra algorithm and Floyd algorithmCommon classica

, vi belongs to V-S. Then, the shortest path is compared with the source point A to the path length of the node vi, the minimum length is the shortest path from source point A to Node VI. Finally, the end of the shortest path (i.e. VI) is added to the S(3) Repeat step (2) until the shortest path of all endpoints is found, that is, the number of nodes in S is equal to the number of nodes in V.The time complexity of the Dijkstra algorithm is O (n^2), the spatial complexity depends on the storage m

Data structures and algorithms (C # implementation) series-demonstration (II) Heavenkiller (original) Public static void ShowGeneralTree_travel () { IEnumerator tmpIEnum; Tree. TraversalType travelType = 0; // --------------------- Prompt ---------------------------- Console. WriteLine ("please choose a No. of a item you want to travel :"); Console. WriteLine ("

Data structures and algorithms (C # implementation) series --- tree (2) Heavenkiller (original) Public class InOrder: IPrePostVisitor { Private IVisitor visitor; Public InOrder (IVisitor _ vis) {visitor = _ vis ;} # Region IPrePostVisitor Member Public void PreVisit (object _ obj) { // TODO: Add InOrder. PreVisit implementation } Public void Visit (object _ ob

Data structures and algorithms (C # implementation) series --- generalized tree (II) Heavenkiller (original) Public override object Key {get {return this. key ;}} Public override uint Degree {get {return this. degree ;}} // Public override uint Height {get {return this. height ;}} Public override bool IsEmpty () // property takes the place of IsEmpty () {Return

It seems that the following is the most elegant implementation.Other, either node redundancy, or initialize ugly ...#!/usr/bin/env python#-*-coding:utf-8-*-classNode:def __init__(self, initdata): Self.__data=InitData self.__next=NonedefGetData (self):returnSelf.__data defGetNext (self):returnSelf.__next defSetData (Self, newdata): Self.__data=NewDatadefSetnext (Self, newnext): Self.__next=Newnextclasssincyclinkedlist:def __init__(self): Self.head=Node (None) self.head.setNext (self.head)defAdd

next time . A the defShufflepile (self): + """in the current state, the tree is adjusted so that it becomes a heap""" - #downward adjustment from "heap bottom" to "heap top", which keeps the smallest elements rising $ #This allows the heap below the I node to be the local minimum heap. $ forIinchRange ((Len (self)-2)/2,-1,-1):#N/2,..., 0 - Self.siftdown (i) - the defdeletemin (self): - """Remove Minimum element"""Wuyit = self[0]#record the

//Delete a node in a binary sort tree the PublicBstree Deletebstree (Bstree bstree,intkey) { the if(Bstree = =NULL) { - return NULL; - } the the if(Bstree.data = =key) { the //first case: leaf node the if(Bstree.left = =NULL Bstree.right = =NULL) { -Bstree =NULL; the } the //second case: node has left dial hand nodes. the if(Bstree.left! =NULL Bstree.right = =NULL) {94Bstree =Bstree.left; t

1 PackageIYou.neugle.search;2 3 Public classHash_search {4 Private Static intm = 13;5 Private Static int[] hash =New int[m];6 Private Static int[] Array =New int[] {13, 25, 2, 60, 39, 52 };7 8 Public Static voidMain (string[] args) {9 Inserthash ();TenSYSTEM.OUT.PRINTLN ("Hash table is established as follows:"); OneSystem.out.print ("["); A for(inti = 0; i ) { - System.out.print (Hash[i]); - if(I! = hash.length-1) { theSystem.out.print (","); -

　　1 //input A, B, output a+b2 /*#include 3 int main ()4 {5 int A, b;6 scanf ("%d%d", a,b);7 printf ("%d", a+b);8 }*/9 /*Ten //Enter a character to return his ASCLL code One #include A int main () - { - char A; the scanf ("%c", a); - printf ("%d", a); - }*/ - + -#include + intMain () A { at CharA; - Charb; - while(scanf ("%c%c", a,b)!=eof)//when there is a space in the middle, the input parameters should also have a space, when there is no space, you do not have to enter a space.

Hanoi Problem Solving:Hanoi (also known as Hanoi) is a puzzle toy derived from an ancient Indian legend. When big Brahma created the world, he made three diamond pillars, and stacked 64 gold discs on a pillar from bottom to top in order of size. The great Brahma commanded the Brahman to rearrange the discs from below to the other pillars in order of size. It is also stipulated that the disc cannot be enlarged on the small disc, and only one disc can be moved between the three pillars at a time.

Stack: LIFO. Stack top at the end, bottom of the stack in the front. The newly added element and the element to be deleted are saved at the end of the stack.Create a stack:functionStack () {varitems = [];/*Save the elements in the stack with an array*/ This. Push =function(e) {Items.push (e); } This. Pop =function() { returnItems.pop (); } This. Peek =function() { returnItems[length-1]; } This. IsEmpty =function() { returnItems.length = = 0; } This. Size

GCD Greatest Common divisorMethod: Euclid Algorithm (Euclidean method),"Thought" recursionIdeasCode1 Public classMain {2 Public Static intgcdintPintq) {3 if(q = 0) {4 returnp;5 }6 intr = p%Q;7 returngcd (q, R);8 }9}LCM Least common multipleThe pursuit of convenient formula method to solve.IdeasCode1 Public classMain {2 Public Static intgcdintPintq) {3 if(q = 0) {4 returnp;5 }6 intr = p%Q;7 ret

only inherit one parent classPolymorphicFour, algorithm effectiveness analysis:4.1 Time Complexity: Https://baike.baidu.com/item/%E6%97%B6%E9%97%B4%E5%A4%8D%E6%9D%82%E5%BA%A6/1894057?fr=aladdin (Baidu Connection)　　F (N) =n! (factorial) n-times with a time complexity of n4.2 Space Complexity: Https://baike.baidu.com/item/%E7%A9%BA%E9%97%B4%E5%A4%8D%E6%9D%82%E5%BA%A6/9664257?fr=aladdin (Baidu Connection)V. Abstract classTo include one or more abstract methods (without a method body): To implement

Bubble sortThe basic idea of bubble sorting is to compare two adjacent elements each time and swap them out if they are in the wrong order.If there are n numbers to sort, just n?1 the number of digits, which meansN-1 operation. The "Every trip" requires a comparison of two adjacent numbers starting from the 1th position, and the smaller oneIn the back, when the comparison is complete, move back one to continue comparing the size of the two adjacent numbers below, repeat this step until the lastN