data structures and algorithm analysis in java

Method Public BooleanDeleteLongvalue) { intj =find (value); if(j==Nelems) { return false; } Else { for(intK=j; k) {A[k]= A[k+1]; } nelems--; return true; } } //Binary Method Search Public intFindLongSearchkey) { intlowerbound = 0; intUpperbound = nElems-1; intCurin; while(true) {Curin= (lowerbound + upperbound)/2; if(a[curin]==Searchkey) { returnCurin;//found it } Else if

)? {???????? This.ddata?=?ddata;???????? This.idata?=?idata,????}???? Public?void?displaylink ()? {???????? System.out.println ("{"? +?idata?+? ",?"?) +?ddata?+ "}");????}}Simple test Cases:Package?com.xingej.algorithm.datastructure.linkedlist.singlelinkedlist;import?org.junit.test;/**?*? single-linked list test? *[email protected]?erjun?2017 December 8? Morning 9:00:54?*/public?class? Linklisttest? {[email protected]???? Public?void?test ()? {???????? Linklist?list?=?new? Linklist ();???????? ?

=currentlink.next;} System.out.println (""); System.out.print ("Linklist.displaylist () Finish");}}public class Linklistapp {public static void main (string[] args) {linklist thelinklist =new linklist (); Thelinklist.insertlink (9, 999, 999.999); Thelinklist.displaylist (); Thelinklist.insertfirst (22, 22.22); Thelinklist.insertfirst (33.33), Thelinklist.insertfirst (44.44), Thelinklist.insertfirst (55, 55.55); Thelinklist.displaylist (); Thelinklist.insertlink (2, 333, 333.333); Thelinklist.di

); Linkedlist.removefirst (); Linkedlist.removelast (); //determine if the linked list is emptySystem.out.println (Linkedlist.isempty ());} HashMap Non-synchronous Public Static voidhashmaptest () {HashMapNewHashmap(); //adding elements to the hash tableHashmap.put ("TP", 123); Hashmap.put ("ZP", 567); System.out.println (HASHMAP); //facilitates a hash table with iterators for(IteratorHashmap.entryset (). iterator (); Iterator.hasnext ();) {EntryIterator.next (); Syst

the left to find an element that is larger than the base element, stop, the two elements are exchanged until two pointers meet, the end of the cycle * pointer point to the The position is where the datum element should be located in the collection * eg * {8,-2, 3, 9, 0, 1, 7, 6} * Benchmark * First bm=8 * end = Lengt h-1 = 7 * start=0 * End--, We found 6:8 small, end pointer stopped, current index is j=7 * start++, until element 9 stops, current index i=3 * Exchange the elements corresp

Set is a required question in the Java interview. However, in my interview experience, it is difficult to get a satisfactory response. Most of them can only understand the general usage method, but do not know about its internal structure. Incorrect usage will cause a significant reduction in performance. First, we will introduce ArrayList. As the name suggests, the internal data structure is an array of

Stack, Chinese translation for stacks, actually refers to the stack, heap, heap. This is about the stack of data structures, not the heap and stack inside the memory allocation.Stack is the structure of the advanced data, like your plate one by one pile up, the last one is stacked on the top.Queue is to buy apples in line, the first one can buy first.Stackpublic

limited to a given size. So far, you've seen through the implementation of the queue that using the offer or Add method Enqueue queue (with remove or poll to dequeue queue) is assumed that if the queue does not provide add or remove operations, then you do not have to wait for the program to execute. The Java.util.concurrent.BlockingQueue interface implements blocking. It adds a put and take method. It may be more useful to cite an example.Use the original Producer/consumer relationship to assu

usually limited to a given size. So far, you've seen through the implementation of the queue that using the offer or Add method Enqueue queue (with remove or poll to dequeue queue) is assumed that if the queue does not provide add or remove operations, then you do not have to wait for the program to execute. The Java.util.concurrent.BlockingQueue interface implements blocking. It adds a put and take method. It may be more useful to cite an example.Use the original Producer/consumer relationship

Data Structure and algorithm analysis-index, data structure and algorithm Index Author: xiabodan Source: http://blog.csdn.net/xiabodan ComputingMethods and data structures are the core

(Original book 2nd edition)" The writing goal is simultaneously teaches the good program design and the algorithm analysis skill, enables the reader to develop has the most high efficiency the procedure. "Data structure and algorithm analysis: C language Description (Origin

It 's written in front . After learning the Python basics, start with this section to formally learn about data structure and algorithm related content. This is a more complex topic, generally divided into the primary, advanced, and specialized algorithm analysis three stages to learn, so we also need to be gradual. T

. Therefore, neither of these algorithms can be considered a good algorithm because, from a practical point of view, they cannot process the input data within a reasonable time.The analysis of data structure and algorithmOne of the most important ideas in many issues is that it is not enough to write a working procedur

Preface Recently in the "Java Data structure and algorithms" This book, this book is very good, it is worth looking at. Read the second chapter-an array of articles. So write this chapter summary, just attach oneself write the programming work source code, for everybody reference. A summary in a book Arrays in Java are objects that are manipulated by the new ope

An array and generalized table of PART3 algorithm analysis and data structure of algorithm learning and data structure 1. Arrays and generalized tables can be thought of as linear tables in the following extensions: The data eleme

2.1 Fundamentals of Mathematics1. Mastering the concept of O (N)2. In any analysis that requires a large o representation, various simplifications are possible, and low-order items are usually automatically ignored and constants can be discarded2.2 Models1. Assumptions made about the simulator:1. The simulator does any simple work (addition, subtraction, assignment, comparison) that takes exactly one time unit2. The simulator has unlimited memory, no

letters. To accumulate together we get T(n)=2n+ step. That is O(n). We have found the linear time solution for this problem.Before we leave this example, we need to talk about space overhead. While the final solution can be run in linear time, it succeeds in having to keep the number of characters in two lists by using additional storage. In other words, the algorithm uses space-changing time.This is a common situation. On many occasions, y

ObjectiveThis article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data Mining

Statement: This series of blogs is the "Data structure and algorithm analysis C + + description" Reading notes seriesReference Blog: Click to open linkThis article is the second chapter of the original book, the main content includes: The algorithm of time complexity analysis