udacity algorithms and data structures

= mid#determine the starting subscript for the post-half string - Else: -Next = mid + 1 the -top = Mid-1 - forIinchRange (Next,len (A)): - ifStack[top]! =A[i]: + returnFalse -Top-= 1 + A returnTrueTest:if __name__= ="__main__" := List ("Hahahahahahahahaha ") print is_plalindrome_demo1 (q)Manual implementation Stack1 #simple filo stack category2 classStack:3 def __init__(self):4Self.top = None#point to top of stack5Self.end = None#Point to the bo

field to delete*/Public Node Delete (Long value) {Node current = first;Node previous = first;while (current.data! = value) {if (Current.next = = null) {return null;}previous = current;current = Current.next;}if (current = = first) {first = First.next;} else {Previous.next = Current.next;}return current;}}Test:public class Testlinklist {public static void Main (string[] args) {linklist linklist = new linklist ();Linklist.insertfirst (34);Linklist.insertfirst (23);Linklist.insertfirst (12);Linkli

string into the object.Remove removes the character from the StringBuilder object. Two parameters: The starting position and the number of characters to remove. ‘Replace: Replaces the character of the StringBuilder object. Two parameters: The old string to replace and the new string to replace.When working with StringBuilder objects, it is often necessary to convert them into strings, which can be implemented using the ToString method. Returns a string instance in the StringBuilder instance.C #

does not support the comparison size.-priority the priority counter, ensuring that the smallest element function in the queue (the most important) is always placed in _queue[0]. heapq.heappush()and the first element is heapq.heappop() inserted and deleted separately on the queue, the _queue first element of the _queue is always the smallest, ensuring that the queue _queue the first element with the highest priority.Reference: "Python Cookbook" 3rd EditionHttp://python3-cookbook.readthedocs.io/z

Implementation of the collectionfunction Set () {this.datastore = []; This.add = add; This.remove = remove; this.size = size; this.union = Union; This.intersect = intersect; This.subset = subset; this.difference = difference; This.show = Show; This.contains = contains;} function Add (data) {if (this.dataStore.indexOf (data) Practice one. Modify the collection class so that the

issue. It is great article to use relational databases to access or to use NoSQL, or to design specific file formats for storage.6) Inter-process communicationDistributed crawler, it is necessary to rely on inter-process communication. We can interact with data in the specified data format to complete interprocess communication.7) ...Nonsense said so much, the real problem comes, the problem is not to lear

Basic Concepts I. Data and structure Data: All of the objects that can be entered into a computer and can be processed by a computer are collectively referred to as a specific symbolic representation of the information processed by the computer. Data elements: An "individual" in the data, the basic unit discussed in t

) { +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

What is a data structure: Statistics + relationshipsRelationships can be divided into: sets, linear structures, tree structures, graph structures or network structures.Storage structure: Sequential storage, chained storage, index storage, hash storage.Data type: Atomic type, struct type1. Time complexity of the algorit

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!!!

comprehensive consideration for beginners may be more difficult.It can be said that the combination of sorting is a more complex sort, especially for students who do not understand the basic idea of the division method may be difficult to understand. Total time = decomposition time + solve problem time + merge time.Decomposition time: Decomposition of a sequence to be sorted into two sequences, time is a constant, time complexity O (1).Solve the problem time: Two recursive, the problem of a sca

-array with only one data item, and the other sub-array containing N-1 data items.A: in this case, the benefits of partitioning are gone, and the execution efficiency of the algorithm is reduced to O (N2). In addition to being slow, there is another potential problem, and when the number of partitions increases, the number of calls to the recursive method increases, and each method call increases the size o

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