data structures and algorithms coding interview questions

The essence of enumeration method is to search for the correct solution from all candidate answers, and the algorithm needs to satisfy two conditions: 1, the number of candidate answers can be determined first; 2. The range of candidate answers must be a definite set before solving. Enumeration is the simplest, most basic, and least efficient algorithm for enumerating the advantages of the enumeration method: 1. Enumeration hassuper-Unbeatable accuracy, as long as the time is enough, the correct

Reprint Please specify:View animation learning algorithms and data structures (not updated periodically) ()Quick Sort (QuickSort)Animated Demo:Java code:public class QuickSort {private int array[];p rivate int length;public void sort (int[] inputarr) {if (Inputarr = = NULL | | i Nputarr.length = = 0) {return;} This.array = Inputarr;length = Inputarr.length;quicks

symbols table ( symbol table) This series of articles mainly introduces the commonly used algorithms and data structure knowledge, recorded is "Algorithms i/ii" the content of the course, using the "algorithm (4th edition)" This red scroll as a learning material, language is java. I needn't say much about the fame of the book. Watercress score 9.4, I also think

satisfied will remain unequal. This is known as shallow equality (e.g.).We can create deep equality (such as) – judged by value equality, unlike references – by overriding __eq__ methods.__eq__is another standard method that exists in all classes. __eq__ The method compares two objects when the value is equal and returns True otherwise False .In the Fraction class, we implemented a __eq__ method to compare fractions by a conventional comparison method (see Listing 7). It's worth noting that the

integers with n elements, at least one repetition number, that is, there may be multiple repetitions, and O (n) time to find any one of the repetitions. For example, array "" = {1,2,2,4,5,4}, then 2 and 4 are repeating elements. Bitmap method. Use the size of the N bitmap to record whether each element has occurred, and once it encounters an element that has already appeared, it is output directly. Time complexity is O (n), spatial complexity is O (n) Array sorting method. First, t

() {arr = new LONG[10];elements = 0;Front = 0;end =-1;}/*** Construction method with parameters, size of parameter array*/Public mycyclequeue (int maxsize) {arr = new Long[maxsize];elements = 0;Front = 0;end =-1;}/*** Add data, insert from end of team*/public void Insert (Long value) {if (end = = arr.length-1) {end =-1;}Arr[++end] = value;elements++;}/*** Delete data, remove from team header*/Public long R

Binary Tree explanation of JavaScript data structures and algorithms, and javascript Binary Tree Binary Tree Concept A Binary Tree is a finite set of n (n> = 0) nodes. It is either an empty set or an empty one ), or a binary tree consisting of a root node and two left and right trees that do not conflict with each other. Binary Tree Features Each node has a maxi

. The algorithm is then filtered up.Note: Up and down, filtering up is only compared with a parent node and stops filtering when it is smaller than the parent node.　　5. Complete Java Heap CodeFirst we need to know some of the main points of using arrays to represent heaps. If the index of the node in the array is x, then:The left child node of the node is 2*index+1,The right child node of the node is 2*index+2,The parent node of the node is (index-1)/2.Note: When the "/" symbol is applied to an

data structure.SummarizeThis blog post is the basic content of the tree, which can help you to understand the other aspects of the tree more deeply. Only if you can work hard, the world is full of love. Maybe the blog update list, please look forward to.My path to the soft test (i)--Opening ( updated )My road of Soft Examination (ii)--J2SE macro Summary ( updated )My path to the soft test (iii)--Data struc

;}return successor;}/*** Pre-sequence traversal*/public void Frontorder (Node localnode) {if (Localnode! = null) {Accessing the root nodeSystem.out.println (Localnode.data + "," + localnode.sdata);Pre-sequence Traversal ZuoziFrontorder (Localnode.leftchild);Pre-sequence traversal right subtreeFrontorder (Localnode.rightchild);}}/*** Middle Sequence traversal*/public void Inorder (Node localnode) {if (Localnode! = null) {Middle Sequence Traversal ZuoziInorder (Localnode.leftchild);Accessing the r

Java data structures and algorithms (Robert lafore) Chapter 4 /* Write a method in the queue class of the program job 4.1 For the queue. Java program (listing 4.4) to display the queue content. Note that this is not a simple display of the array content. It is required to display data from the first inserted

Second=Head; //The second node moves backwards K-1 step for(inti = 0;i ){ //determine if the second is empty if(second==NULL){ Throw NewNullPointerException (); } Second=Second.next; } //two nodes move backwards until the end of the linked list while(second!=NULL) { First=First.next; Second=Second.next; } returnfirst.date; }We can see that at the beginning of the direct judgment K equals 0, we directly judge whether he is empty

Algorithm Graph Search (breadth first, depth first) depth first special important sequencing dynamic programming matching algorithm and network flow algorithm regular expression and string matching Data structure diagram (tree is especially important) map stack/Queue Tries | Dictionary Tree Additional recommended greedy algorithm approximate algorithm of probability method above is the recommendation of Arjun Nayini, the following is Ken George's r

This article mainly introduces the data structure implemented by Python and the linked list of algorithms. it analyzes the concept and definition of the linked list in detail and the skills related to Python implementation and use of the linked list, which is of great practical value, for more information about the data structure and algorithm linked list impleme

simple; An ordered array can be found using two points; The logarithm of base a of B (probably) is the number of times the B is removed before the result of drizzle 1; The time required for linear lookups is proportional to the number of data items in the array; The time required for binary lookup is proportional to the logarithm of the number of data items in the array; The large O not

of red-Haishi. But they can't all be full, so the height of the 2-3-4 tree is roughly log2 (n+1) and log2 (n+1)/2. Reducing the height of the 2-3-4 tree makes it shorter to find than red-Haishi.On the other hand, each node has more data items to view, which increases the lookup time. Because a linear search is used in a node to view data items, the multiple of the lookup time is proportional to M, which is

) Unordered array Delete (query + fill hole) O (N) Ordered array deletion (query + fill hole) O (N) Why not use data to solve everythingAn unordered array is inserted (O (1) time), and the query spends (O (N) time). An ordered array query spends (O (logn) time), but inserts a missing cost (O (N) time). And the deletion takes (O (N) time). So a data structur

when the display, but, The next time the element is inserted, the new element will replace the position of the last element.3) Find optimization--two points to findpublic int find (int value) { int start = 0; int end = Number-1; while (End>start) { int index = (end + start)/2; if (array[index]==value) { return index; } else if (Array[index] >value) { end = index-1; } else { start = in

　　 Packagecom.test.sort.insertion; Public classBinaryinsertsort {/** * @paramargs*/ Public Static voidMain (string[] args) {//TODO auto-generated Method StubSYSTEM.OUT.PRINTLN ("Binary Insert sort sort function implementation")); int[] arr = {23, 54, 6, 2, 65, 34, 2, 67, 7, 9, 43 }; Binaryinsertsort Sort=NewBinaryinsertsort (); System.out.println ("Sort before sequence:"); Sort.printarr (arr); Sort.bininsertsort (arr,0, Arr.length-1); System.out.println ("Sort after sequence:");;

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