concise introduction to data structures using java

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Java about data Structures (reproduced)

I. What the data structure coversSecond, the basic concept of the algorithm:1, the concept of the algorithm:Algorithm is a description of the solution step for a particular problem, which is a finite sequence of instructions, where each instruction represents one or more operations.2, the characteristics of the algorithm: Poor sex: Instruction sequence is limited Certainty: Each statement has a clear meaning and no ambiguity Feasibili

Java Data structures and algorithms (12)--2-3-4 Tree

From the previous introduction, we know that in a binary tree, each node has only one data item, with a maximum of two child nodes. If you allow each node to have more data items and more child nodes, it is a multi-fork tree. This blog we will introduce the--2-3-4 tree, which is a multi-fork tree, with a maximum of four child nodes and three

Java Data Structures and algorithms (4)-Queues (queue and PRIORITYQ)

(20); Thequeue.insert (30); Thequeue.insert (40); Thequeue.remove (); Thequeue.remove (); Thequeue.remove (); Thequeue.insert (50); Thequeue.insert (60); Thequeue.insert (70); Thequeue.insert (80); while(!Thequeue.isempty ()) { Longn =Thequeue.remove (); System.out.print (n); // Max, Max, Max.System.out.print (""); } System.out.println (""); Priorityq THEPQ=NewPRIORITYQ (5); Thepq.insert (30); Thepq.insert (50); Thepq.insert (10); Thepq.insert (40); Thepq.insert

Vector of JAVA data structures

Vector implements a dynamic array. is an array of objects that can be automatically grown.Comparison of vectors and ArrayList:1, all in an array format to store data, index data block insert data slow2, ArrayList will be faster than vector, he is non-synchronous3, involving multi-threading, vector is a better synchronizationUsage:1. Constructor:1) Construction me

Common Java Data Structures & pros and cons

Array Advantages: Fast query, if you know the index can quickly access the disadvantage: Delete slow, size fixed ordered array advantages: Faster than unordered array lookup disadvantage: Delete and insert slow, size fixed stack advantages: Provide last-in-first-out access method disadvantage: Access to other items is slow queue advantages: Provide first-in-out access method disadvantage: access to other The items are slow. List Advantages: Quick Insert, delete fast disadvantage: find slow (each

Tree of data structures (Java implementation version)

} + } - //complement the left and right sub-tree nodes of the two-fork tree the for(intj = 0; J ){ *Btn[j].setleftnode (btn[2*j + 1]); $Btn[j].setrightnode (Btn[2*j + 2]);Panax Notoginseng } - } the //Recursive method pre-order traversal + voidPreorder (Binarytreenode btn) { ABinarytreenode root =btn; the if(Root! =NULL){ + Printnode (root); - inorder (root.leftnode); $ inorder (root.rightnode); $ } - } - //recursi

Java Data structures and algorithms (iv)--stack

(String)); }Second, the use of the stack-delimiter matching.public int charat (char c) {for (int i = 0; i will ({Press into the stack once, once encountered)}] will be compared with the popup element, if it matches, then match. If not)}], the left sign of the stack pops up and the hint is where the specific right symbol type is missing. This is a tool that can be implemented using stacks.Stack of data i

Analysis of common JAVA data structures and principles

Analysis of common JAVA data structures and principles Not long ago, the interviewer asked me to explain how to understand the java data structure framework. I have also read some of the source code before. balabala has talked about a bunch of ideas and I will summarize them

Stack of Java Data structures

: a container for data storage, an array, or a linked list; a pointer; Other API behaviors are all around the container ** The main composition of a queue: a container for data storage, an array of arrays, or a list of two pointers. ** is not suitable for large amounts of storage, just a means of implementing some sort of algorithm.,** Restricted access Mode **@ authorerjun2017 December 6 Morning 9:11:40*/

Java data structures and algorithms------binary sort Tree

//Delete a node in a binary sort tree the PublicBstree Deletebstree (Bstree bstree,intkey) { the if(Bstree = =NULL) { - return NULL; - } the the if(Bstree.data = =key) { the //first case: leaf node the if(Bstree.left = =NULL Bstree.right = =NULL) { -Bstree =NULL; the } the //second case: node has left dial hand nodes. the if(Bstree.left! =NULL Bstree.right = =NULL) {94Bstree =Bstree.left; t

Java data structures and algorithms------Hash Lookup

1 PackageIYou.neugle.search;2 3 Public classHash_search {4 Private Static intm = 13;5 Private Static int[] hash =New int[m];6 Private Static int[] Array =New int[] {13, 25, 2, 60, 39, 52 };7 8 Public Static voidMain (string[] args) {9 Inserthash ();TenSYSTEM.OUT.PRINTLN ("Hash table is established as follows:"); OneSystem.out.print ("["); A for(inti = 0; i ) { - System.out.print (Hash[i]); - if(I! = hash.length-1) { theSystem.out.print (","); -

Bubbling ordering of Java data structures

arraybub{[] (max) {=[max]= } (value) {[]=value++} () { (j=jBubblesort {(string[] args) {maxSize = Arraybub arr = Arraybub (maxSize) Arr.insert () Arr.insert () arr.inse RT () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.insert () Arr.display () Arr.bubblesort () Arr.display ()} () {}}First look at the above code, bubble sort core is: Bubblesort () method, for loop nesting, the outer layer of each row minus one,

Self-made data structures (containers)-java development with the most ArrayList and HashMap

public class Myarraylist  Self-made data structures (containers)-java development with the most ArrayList and HashMap

Java programs for "Algorithms and data Structures" greatest common divisor and least common multiple

GCD Greatest Common divisorMethod: Euclid Algorithm (Euclidean method),"Thought" recursionIdeasCode1 Public classMain {2 Public Static intgcdintPintq) {3 if(q = 0) {4 returnp;5 }6 intr = p%Q;7 returngcd (q, R);8 }9}LCM Least common multipleThe pursuit of convenient formula method to solve.IdeasCode1 Public classMain {2 Public Static intgcdintPintq) {3 if(q = 0) {4 returnp;5 }6 intr = p%Q;7 ret

Implementation of the queue of data structures (JAVA)

Stackelement see the implementation of the stackPackage Com.lip.datastruture.stack;public class QueueOperation Result:Implementation of the queue of data structures (JAVA)

Sequential traversal in data structures (Java implementation) (II)

' (', directly into the stack, if ') ', out of the stack and sequential output operator until the first ' (', the first encountered ' ('), but not the output, if the arithmetic character, the top element of the stack and the current element precedence: If the top of the stack operator precedence >= the current element priority , out of the stack and sequential output operator until the top element of the stack priority 5, repeat the 3rd until the expression scan is complete.6, sequentially out

Java Data Structures and algorithms (3)-stacks (stacks and transpose)

()) { CharCH =Thestack.pop (); Output= output +ch; } returnoutput; } } classReverseapp { Public Static voidMain (string[] args)throwsIOException {String input, output; while(true) {System.out.print ("Enter A string:"); System.out.flush (); Input=getString1 (); if(Input.equals ("")) { Break; } reverser Thereverser=Newreverser (input); Output=Thereverser.dorev (); System.out.println ("Reversed:" +output); } } Public StaticString getString

Java data structures and algorithms the second edition after the lesson third chapter

() method in the Bubblesort.java program (listing 3.1) with the Oddevensort () method . Make sure it runs in a sort of different amount of data, and that you need to figure out the number of two scans. Parity Ordering is actually useful in multiprocessor environments where the processor can process each odd pair at the same time, and then handle even pairs at the same time. Because the odd pairs are independent of each other, each pair can be compar

Common data Structures in Java: List and map-how the bottom layer is implemented

methods of collection and traversal mode Collection:add () Remove () contains () iterator () size () Traversal: Enhanced for iterator |--listget () Traversal: normal For|--setmap:put () Remove () ContainsKey (), Containsvalue () KeySet () get () value () EntrySet () size () Traversal: Find values based on key values for key and value jobs: Any collection I've explained, I ask you to store what you are able to store. And, you have to be able to traverse it.4:arraylist,linkedlist,hashset,hashmap

Java data structures and algorithms-learning 3

. You only need to change the reference point. Another important aspect is that the array size is fixed when defined, but the linked list can allocate any size or even all available memory. ABSTRACT Data Type ADT, in short, is a way to consider the data structure: focus on what it does, and ignore how it does it. Both stack and queue are examples of ADT. They can be implemented not only

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