best book for data structures and algorithms in java

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

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

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

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

;//I fall back to the next last match firstj =0;//J fallback to the first of the substring } if(J = =searchstr.length) {returnIJ; } }}I is the subscript positioning of the main string, and J is the subscript location of the substring.When the main string string is equal, it enters the loop mode of the substring, and when the number of cycles J satisfies the substring length, the validation is exactly the same.When the main string string is not equal, it is necessary to move the

Data structure: The way in which it is arranged in the computer's storage space.Algorithms: Software programs manipulate the data processes of these structures.Data structure Type1. Arrays:Advantages: Fast insertion, direct subscript can be accessed quickly.Cons: Find slow, delete slow, fixed size.2. Ordered arrays:Pros: Faster than no need for array lookups.Cons: Delete and insert slow, fixed size.3. Stack

-operation Traversal, we first recursively use the post-traversal to access the Saozi right subtree, the last access to the root node root node, right subtree, left dial hand tree def postorder (self, Root): "" " recursive implementation of subsequent traversal" " if root = = None: return self.postorder (root.lchild) Self.postorder (root.rchild) print (Root.elem)Breadth-first traversal (hierarchical traversal)From the root of the tree, from top to bottom, from l

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

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

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

observers, that is, dependent objects, each time data changes, these 2 view will changeclassHexviewer (object):defUpdate (self, subject):Print 'hexviewer:subject%s has data 0x%x'%(Subject.name, Subject.data)classDecimalviewer (object):defUpdate (self, subject):Print 'decimalviewer:subject%s has data%d'%(Subject.name, Subject.data)if __name__=='__main__': Data1=

detection and re-hashing;2), Di = 12,-12,22,-22,32,..., ±k2 (K≤M/2), called two-time detection and re-hashing;3), Di = pseudo-random number sequence, called pseudo-random detection re-hash.(2), re-hash methodhi = RHI (key) i =,..., kRHI are different hash functions.(3), Chain address methodStores all the data elements of a synonym in the same linear list. Assuming that the hash address produced by a hash function is on the interval [0,m-1], a pointer

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

Algorithm Figure Search (breadth first, depth first) depth first is especially important Sort Dynamic planning Matching algorithm and network flow algorithm Regular expressions and string matching Data Figure (tree is particularly important) Map Heap Stack/queue Tries | Dictionary Tree Additional recommendations Greedy algorithm Probability method Approximate algorithm Algorithm: Three-way di

Today we will talk about how to calculate the complexity of time.The concept of Time complexity: (Baidu version)The same problem can be solved by different algorithms, and the quality of an algorithm will affect the efficiency of the algorithm and even the program.The purpose of the algorithm analysis is to select the suitable algorithm and the improved algorithm.In computer science, the time complexity of the algorithm is a function, which quantitati

Chapter 2 arrays and arraylists Arrays are the most common data structures that appear in almost allProgramming Language. Using data in C # is essentially creating an array object of the system. array type. The system. array class is composed of all arrays.AbstractionBase type. It provides a series of methods for sorting and searching.ProgramManually implemente