udemy data structures and algorithms

formed by the list of recursive interceptsRight_list =Merge_sort (list[mid:])#to create an index of left and right cursor record list valuesLeft_pointer, Right_pointer =0,0#Create a new empty listresult = [] #Loop Compare numeric size #exit loop condition when one of the left and right cursors equals the length of the list whileLeft_pointer andRight_pointer Len (right_list):#determining the left and right value sizes ifLeft_list[left_pointer] Right_list[right_pointer]: Result.

) { +Temp[i] =key; -}Else { theTemp[i] = This. table[i-1];Bayi } the } the - This. Table =temp; - } the the Public intSearchindex (intkey) { the intn = key/m-1; the intStart =-1; - intLength =-1; the //Find index location the for(inti = 0; I This. Indextable.size (); i++) { the if(n = = This. Indextable.get (i). Index) {94Start = This. Indextable.get (i). Start; theLength = This. Indextable.get (i). len

Data structures and algorithms in JavaScript (2): queue This article mainly introduces the data structure and algorithm in JavaScript (2): queue is a linear table that allows only one end to be inserted and the other to be deleted, A queue is a First-In-First-Out (FIFO) data

This is my third side of the question summary.To see the previous content, please visit:http://zhweizhi.blog.51cto.com/10800691/1763237(Some data structure algorithm surface question "One" (update completed))http://zhweizhi.blog.51cto.com/10800691/1775780(Some data structure algorithm surface question "Two" (update completed))http://zhweizhi.blog.51cto.com/10800691/1787562(Some

From coolshell (from a website: data structure visualizations) Do you still remember the previous article about visual sorting? On the Internet, I saw a home page for various visual data structures and basic algorithms by David galles from the University of San Francisco. The website is here for you to see. I listed t

Stacks and queuesStack (last in, first out)Stack, which allows access to only one data item: The last inserted data item.Stacks can be used to check the matching problems of parentheses and parse mathematical expressions, similar to those used in the compilation principle.The operation of the picture is actually summed up: 1. Read the left delimiter into the stack, 2. The right delimiter is read to match th

) + (N-2) +...+1 = N (N-1)/2When the value of N is very large, the algorithm compares the number of N2/2 times, ignoring minus 1.Assuming that the data is random, it is possible to swap locations each time, possibly without swapping, assuming a probability of 50%, then the number of interchanges is N2/4. However, if the worst-case scenario is that the initial data is reversed, the position is swapped for ea

node without any child nodes.The number of layers in the two-ary tree is L, and the node points are N, then N=2L-1;L=LOG2 (n+1).5. Complete binary TreeConcept: In addition to the last layer, each of the other layers of the number of nodes are full, the last layer if also full, is a full two fork tree, is also a complete binary tree. If the last layer is dissatisfied, the missing nodes are all concentrated on the right, and that is a tree full of two forks.As below, are completely binary tree!!!

, and define variables head and tail to record the end-to-end elements of a queue.Unlike stack implementations, in the queue, we define head and tail to record header and tail elements. When Enqueue, the Tial plus 1, the element is placed in the tail, when Dequeue, head minus 1, and return. Public voidEnqueue (T _item) {if((Head-tail + 1) = = Item. Length) Resize (2 *item. Length); Item[tail++] =_item;} PublicT Dequeue () {T temp= item[--Head]; Item[head]=default(T); if(Head > 0 (tail-head +

This article mainly introduces the stack details of JavaScript data structures and algorithms. This article describes stack operations and stack implementation instances, if you need a list, you can refer to the list described in the previous blog. The list is the simplest structure. However, if you want to process complicated

for space for time. In addition, the spatial complexity of the algorithm is difficult to calculate, so, whether in the exam or in the development of the project, we are focused on the complexity of time. So, space complexity, skip over.Photo source reference from: Fish C Studio. Thanks to the Fish C studio for contributing such a good picture.If not specifically described, the author of all articles are original articles. If you like this article, reprint please indicate the source. If you are

judge the case as false. if the match is not modified after the child match ends, it indicates that the match is a full match. The above two methods all use subloops. can we change them to a loop body? In fact, we can see that the primary string will only increase by 1 each time, and the child string will be matched from the beginning each time. so we can change it to a while to control the subscript pointer. Optimization algorithm (2) Function BF_Optimize_2 (sourceStr, searchStr) {var I = 0,

. Ah ah ah ah oh ah ah ah oh ah ah ahThis is not written until 00:00 November 23, 2015.However, in order to maintain the style of unification, or to add a few think well-written blogReport:http://arsenal591.blog.163.com/blog/static/253901269201510169448656Http://www.cnblogs.com/ocNflag/p/4967695.htmlHttp://blog.sina.com.cn/s/blog_1495db3970102w4wl.htmlHttp://www.cnblogs.com/fighter-MaZijun/p/4979318.htmlHttp://www.cnblogs.com/lqf-96/p/lowest-common-ancestor-of-a-binary-tree.htmlRe-attached://The

Linked List of data structures and algorithms Classification of linked lists: (1) single-chain table Header insertion: you only need to maintain one header node, which is often used to simulate the stack; Tail insertion: You need to maintain the head and end nodes, which are often used to simulate queues. (2) Two-way linked list Bidirectional traversal can be use

Array of data structures and algorithms The basic concept of array: array is the simplest and most commonly used data structure, but there are also some considerations: (1) array allocation method and storage location; (2) initialization; (3) Advanced definition of arrays in different languages; (4) multi-dimensional a

The algorithm and data structure, from the very beginning, the realization of dynamic array is first seen.Array.h#include Main.cpp#include "Array.h" int main () {Array arr1 (2); Arr1.printarray (); arr1. InsertAt (1, 1); Arr1.printarray (); arr1. Deleteat (1); Array arr2 (ARR1); Arr2.printarray (); arr1. SetAt (1, 1); Array ARR3 = Arr1;arr3.printarray (); Arr3. Pushback (2); cout Output resultsCome on, that's it.Fundamentals of

the queue, and therefore also called a two-way queue. Write a test program to test the class.Bidirectional Queue class function Deque () {this.datastore = []; This.enqueuefront = Enqueuefront; This.enqueueback = Enqueueback; This.dequeuefront = Dequeuefront; This.dequeueback = Dequeueback; This.front = Front; This.back = back; this.tostring = toString; This.empty = Empty;} Queue-Team first function Enqueuefront (element) {This.dataStore.unshift (element);} Out team-team fir

[low], pivot)) Low++; R[high]= R[low];//move elements that are larger than pivot to the high end} R[low]= pivot;//Set Pivot returnLow//return pivot element position}"Efficiency analysis"Space efficiency: Not sure, worst case is n.Time efficiency: Assuming that the number of elements to be sorted n, then a total of n-1 order, the sub-sequence of j elements to make a trip to the bubble sort needs to be j-1 sub-keyword comparison, bubble sorting time complexity of 0 (n log n).C. Algorithm ex

first 1frequency = [0 forIinchRange (0, 10, 1)] I= 1#do factorial operations, from 1! , 2! , 3! , until 100! The Operation forNinchRange (1, 100, 1): I= n *i m=First_number (i) frequency[m]= Frequency[m] + 1PrintFrequencyResults:/users/liudaoqiang/pycharmprojects/numpy/venv/bin/python/users/liudaoqiang/project/python_project/bat_day17/ 7, 7, 7, 3, ten, 4]process finished with exit code 03. Ben Ford's Law:In life, the probability of the first digit being 1 is nearly 1/3, which is 3 times ti

This is my own written Fibonacci search algorithm, and other ideas on the web slightly different, special posted out:1) There is no pre-stored Fibonacci array, the entire length of the search data can be changed;2) The change of the mid index is dynamic, according to Fibonacci's fallback method;#include #include #define INF 32767#define SIZE 92int Feibinaci (int str[],int n,int key){int F0 = 1;int F1 = 1;int temp;int mid;while (F1 {temp = F1;F1 = F1 +