good book for data structures and algorithms

. (5) Merge sort can be used to sort within, or can be used for sorting outside. When you sort outside, you usually use a multi-way merge,And by solving the merging of Changshun string, the long initial string is generated, and the parallel capability of the host and peripherals is improved to reduce the number of accesses external memory and improve the efficiency of the external sequencing.2, the search algorithm can be proficient in writing or the computer code out two points to find the prog

the process data in the lookup table is a change, there is a delete or insert operationBinary sort tree: The structure of a tree is usually not generated at once, but in the process of finding it, inserting it when there is no keyword equal to the given node in the tree. The characteristic is that the root node is larger than the left child, smaller than the right child. You can modify the pointer based on the node location when you delete the

, and we'll talk about sorting algorithms later on.③, delete slowly, according to the value of the element is deleted, we need to find the location of the element, and then the value behind the element to move the whole forward one position. It also takes a lot more time.④, arrays once created, the size is fixed, you cannot dynamically expand the number of elements of the array. If you initialize to a very large array size, it will be wasted memory sp

, card): Table.append (Card)ifTable.count (Card) >=2: whileTable.count (Card) >0:person.append (Table.pop ()) whileLen (hen)!=0 andLen (haa)! =0:#print "tab:", List (table)i = Hen.popleft ()#hen the cards first#print "Hen put", IRefreshtable (hen, i)#Hen Action#print "hen:", List (hen) #print "tab:", List (table)j = Haa.popleft ()#Haa after the card#print "Haa put", JRefreshtable (Haa, J)#haa Action#print "Haa:", List (HAA)#print "tab:", List (table)#print "Next Turn"

-set receives a tree height effect and is less efficient. Therefore, there are two kinds of improved heuristic algorithms.The first is to merge by rank, and for each node to record his height, change the father of the smaller node to the larger one. If both sides are equal, select one as the father, and the rank of the root node plus one.The second is path compression, and each time the find-set is called, the father of the node found on the path is changed directly to the root node.1make-SET (x

Bucket sortBarrel sequencing has been used since the 1956, and the basic idea of the algorithm is proposed by E.J.ISSAC and R.c.singleton.This algorithm is like having 11 barrels, numbered from 0~10. Each occurrence of a number, in the corresponding number of buckets put aA little flag, and then just count the few small flags in each bucket OK. For example, there are 1 small flags in bucket 2nd, indicating2 appeared once, and in the 3rd barrels there were 1 small flags, indicating that 3 appeare

is too small, may be back overflow, if too large, but also cause a waste of performance, and the list is dynamically allocated, there is no problem. Therefore, generally do not use barrels.6. SummaryA hash table is based on an array, similar to the storage form of a key-value, where the keyword value is mapped to an array subscript by a hash function, which is called a conflict if a keyword is Hashiha to an occupied cell. There are two ways to resolve conflicts: The Open Address method and the

Python data structures and algorithms-algorithm analysisAn interesting problem often occurs, that is, two seemingly different programs. Which one is better? To answer this question, we must know that the program differs greatly from the algorithm representing the program. the algorithm is a general command that solves the problem. provides a solution to any insta

elements, and the base sorting is for tuples. (2) Basic Idea: from low to high, sort the numbers in order for distribution and collection. After D-train allocation and collection, an ordered sequence can be obtained. (3) For example: Sorting Algorithm comparison Summary People have the strongest ability to process images. I believe you have learned these eight types of sorting through this image. Welcome to the blog update list. My soft test path (1) -- opening (updated) My soft test pat

Data structures and algorithms in JavaScript (4): string (BF ), A string is a finite sequence composed of zero or multiple characters. It is also called a string. The logical structure of a string is similar to that of a linear table. The difference is that a string is a character set. Therefore, the operation is quite different from that of a linear table. A lin

of the stack: * Initialize stack, stack, stack, get stack top element, current stack size * * Stack list implementation **/ Public classLinkedstack { Private intCurrentSize;//Current stack size (no size limit for linked list stack) PrivateNode//head Node//Initialize Stack PublicLinkedstack () {Top=NULL;//the head pointer is empty } Public BooleanIsEmpty () {returntop = =NULL; } Public intLength () {returncurrentsize; } //Press Stack Public Booleanpush (T

obtained through the "predictive component", but we need to be more intuitive to verify the accuracy of the experiment, so we selected the "Two classification evaluation component" to evaluate the results.News text Analysis1. Data preprocessing and word segmentation, adding serial numbers, participle2. Keyword extract Word frequency statistics component3. Article classification. "Ternary group to KV component" is a common algorithm for text vectoriza

simple class of students to save data, with the number of groups can not solve the problem? There is a tree in Java, but it is not the principle of the use of trees?All kinds of down, you will find that the original real problems and language inside the package, are related to these, whenever you learn a kind, it will suddenly dawned, this is not the West Lake River of Summer Rain lotus, is this feeling. The students do not think about these problems

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 ();

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

ordered data function List () {this.listsize = 0; this.pos = 0; this.datastore = []; this.find = Find, ..............} Method: Append: ... Read the full text posted @2014-10-13 09:31jinkspeng read (+) | Comments (0) Edit NBSP;JS: Data structure NOTE 1---An array summary: JS Array: Just a special object, less efficient than other languages; A property is an index used to represent an offset; in JS, a numer

A data structure is a collection of one or more specific relationships that exist between each other.The popular point is the logical structure of the data, such as what kind of structure the data is stored in memory.General data structures: arrays, linked lists, trees, hash

5277,59350,53353,68663,9642,30406,5396,3222,67194,7124,54247,15077,97688,36939,62888,80307,65467,6882,97071,39652,38268,8 8226,89088,92198,39003,9858,73803,83078,24648,49891,34551,57649,24443,30685,68740,55407,53155,87465,89282,41856,96218,372 92,24551,67663,31715,46363,25573,61921,56333,69576,55919,19818,26409,21590,70392,67648,36909,89175,74443,41856,11755,2478 8,25975,25116,57360,80998,62093,40691,91189,29337,68914,57653,64272,53653,5975,27967,59600,25803,13937,93725,26457,16603 , 18360,7992

); For (uint I = 0; I { Tree childTree = headTree [I]; If (! ChildTree. IsEmpty ()) TmpQueue. Enqueue (childTree ); } } } // -------------------------------------------------- End ------------------------------------ // The internal Member class is used to provide visitors of different traversal types. Public class PreOrder: IPrePostVisitor { Private IVisitor visitor; Public PreOrder (IVisitor _ vis) {visitor = _ vis ;} # Region IPrePostVisitor Member Public void PreVisit (object _ obj) {

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