data structures and algorithms in java lafore

| | j>1)//If to the end, return prompt{return ERROR;}S= (linklist) malloc (sizeof (Node));S->data =e;//Value AssignmentThe following two sentences can not be written anti-ohS->next = p->next;P->next = s;return OK;}Single-linked list delete operationDelete the A2 in the single-linked list a1,a2,a3650) this.width=650; "Width=" 518 "height=" 242 "title=" 11.jpg "style=" width:342px;height:143px; "src="/HTTP/ S3.51cto.com/wyfs02/m00/57/13/wkiol1sq75iic-u

algorithm is executed on different computers, and the execution time is not the same.Therefore, the operational efficiency should be related to the execution steps, which will be the time complexity of the execution steps.In the first algorithm: T (n) = n^3 * 2In the second algorithm: T (n) = n^2 * 3If the system and bias items are not considered, then the progressive function, using the progressive function representation, is the large O notation:In the first algorithm: T (n) = O (n^3)In the s

BFS is the same as the sequence traversal of the tree, starting from a vertex, access all its adjacent vertices, and put the visited adjacent vertices into the queue, each time after accessing all the adjacent vertices, the queue to remove a vertex, and then continue the previous operation until the number of elements in the queue is 0.voidBFsintv) {Queueint>que; BOOLFlag[max_v]; Fill (Flag,flag+max_v,false); Que.push (v); FLAG[V]=true; while(!Que.empty ()) { intVI =Que.front ();

first, there are 9 kinds of sorting algorithms mentioned above: 1. Simple selection of sorting 2. Heap sort (1 and 2 are select sort) 3. Direct Insert Sort 4. Hill sort (3 and 4 belong to the insertion sort, sometimes the improved direct insertion sort is called binary insertion) 5. Bubble sort 6. Quick Sort (5 and 6 are interchange sort.) The interchange sort is the name of the non-stop exchange of data lo

the following format:1 [2{"ID": 1001,"name":"Zhang San"," Age": 20},3{"ID": 1002,"name":"Woz"," Age": 22},4{"ID": 1003,"name":"Alex"," Age": 23},5{"ID": 1004,"name":"HF"," Age": 26},6{"ID": 1005,"name":"KK"," Age": 27},7]Now it is required to change the binary lookup code, enter the student ID, output the student's subscript below the list and output the complete student information.The implementation code is as follows:4. Common sortThe usual sorts are as follows:Third, the commonly used

Merge Sorting of data structures and algorithms 14 The center of the merge algorithm is to merge two sorted arrays. Merge two ordered arrays A and B to generate the third array C. array C contains all the data items of array A and B, and arrange them in array C in an orderly manner. First, let's take a look at the merg

the average number of average months, the average of a particular week, and the averages of all weeks.Const MONTHDATA = function Monthdata () {//Initialize month data This.monthdata = (function () {Let arr = []; Let week = 4; Let day = 7; while (week--) {Arr[week] = []; while (day--) {Arr[week][day] = 0; } day = 7; } console.log (arr); return arr; })(); This.adddata = AddData; This.getmont

, and then delete the heap top element (the lowest value in the heap). The time complexity is O (* (n-k) *lg2k).Admittedly, the use of heaps to find the largest number of K performance is the best, but the benefits are not so little!! Let's imagine that if the input sequence is large, that is, the value of n is so large that it cannot be stored in memory, then the method one and method two are used, of course, the method can achieve the goal by using the merge sort, but how many Io is needed at

;next = NULL;return OK;}Advantages and disadvantages of single linked list and sequential table storage structure Storage mode Time performance Space performance Sequential storage Successive storage units are sequentially storedData Elements for linear tables Insertion: O (1)Insert and delete: Average moveThe length of the table is half the element, the timeis O (n) Easy Overflow Single linked list Use a set of ar

Python cookbook (data structures and algorithms) keeps the dictionary orderly. This example describes how to keep the dictionary in order by using Python. We will share this with you for your reference. The details are as follows: Problem:When creating a dictionary and performing iteration or serialization operations on the dictionary, you can also control the or

A table is an abstract definition of arraylist,linkedlist,stack,queue. I understand it as an ordered single data store.Use of the Remove method with the LinkedList classSimulates a scene, iterates over a linkedlist, and deletes the values stored in them as even numbers. Method One: Use subscript I for A For loop, if found to be an even number, and then remove (i) to delete. The time complexity of this method is O (N2), because the complexity

at a time until an empty slot is found and the key is stored in that position. For example, the hash value of the conflict is H, followed by the order of H+1, h+2, h+3 ...To prevent aggregation (clustering), the skip slots method can be used.(ii) quadratic probing (square probe): that is, the conflicting hash value is H, then the next lookup is h+1, followed by h+4,h+9,h+16 ...(2) Chaining (linked list method): All elements of the same hash value are saved in a linked list. However, the more el

the previous node, save the next node with another node, and then process the node. listnode* reverselist (listnode *plistnode) {listnode *pguard = Null,*pnode = Plistnode; if (NULL == Plistnode) return NULL; Pguard = Plistnode->next; Plistnode ->next = NULL; Plistnode = Pguard; while (Plistnode->next) {Pguard = plistnode->next; Plistnode ->next = Pnode; Pnode = Plistnode; return Plistnode;} Full code See: Https://github.com/whc2uestc/DataStructure-Alg

Data structures and algorithms (C # implementation) series --- tree (1) Heavenkiller (original) First, let's define the tree: A tree is a finite, non-empty node set, T = {r} or T1 or T2 or... Or Tn It has the following properties: 1. the node r specified in the set is called the root node of the tree. 2. The remaining nodes can be divided into n subsets, T1, T2 ,

elements u, and another set R with R relationships. if (b) belongs to r, then elements a and B are equivalent. Equivalence classes refer to the largest set of mutually equivalent elements. In other words, the set U is divided according to the relationship, the elements within the class are equivalent and can be regarded as a kind of clustering.Offline equivalence classes: Known N and R, determine all equivalence classes.Online equivalence class: There are n elements at the beginning, and each e

from its previous element, execute a[count]=a[i],count++;Question 16: How to find the second largest number in an array.Method 1: Sort all the elements and the second largest number in the second positionMethod 2: Use two variables to record the first and second largest number, for the maximum initial value of the primary element, the second largest number is initialized to the smallest negative numbers. Each time the current element is compared with the maximum value, if it is greater than the

We have introduced the linear structure. The data elements in the linear structure are one-to-one relationships. This chapter and the next chapter introduce two important non-linear structures: Tree Structure and graph structure. The tree structure is a one-to-many nonlinear structure, which is very similar to the trees in nature. Data elements have both branch a

third loop we have a normal insertion of the data for this group, and the hill sort is a sort of insertion with a certain step, so we can understand that!Issues to be aware of:One: About Hill Sort Step selection question:To tell the truth, I really do not understand the problem, it is not very convenient to make the corresponding explanation, but in my view of the algorithm fourth edition books and data

is more complex because: Need to handle different node types, very cumbersome A multiple comparison operation is required to move the node down Need to move up to split the 4-node node There are a number of scenarios for splitting 4-node nodes 2-3 Find trees are more complex to implement, and in some cases the balancing operation after insertion may result in reduced efficiency. The improved red-black tree based on the 2-3 find tree is not only more efficient, but also

algorithm is O (NLOGN).2: Worst of all, that's what I'm talking about. The maximum and minimum values are selected:Then look at the worst-case fast-track, when the sequence to be sorted is in a positive or reverse order, and each partition has only one sub-sequence that is less than the last one, noting that the other is empty. If the recursive tree is drawn, it is a diagonal tree. You need to perform a n‐1 recursive call at this time, and the first Division I need to go through the N‐i keyword