robert lafore data structures and algorithms in java

Bubble sortThe basic idea of bubble sorting is to compare two adjacent elements each time and swap them out if they are in the wrong order.If there are n numbers to sort, just n?1 the number of digits, which meansN-1 operation. The "Every trip" requires a comparison of two adjacent numbers starting from the 1th position, and the smaller oneIn the back, when the comparison is complete, move back one to continue comparing the size of the two adjacent numbers below, repeat this step until the lastN

; tointk=-1; .intJ=0; - while(JPlen-1) ,{ the //p[k] Represents a prefix, p[j] represents a suffixTenif(k==-1|| P[J]==P[k]) One { A++k; -++J; -Next[J]=k; the} -Else -{ -k=Next[k]; +} -} +}The value of Next[j] (that is, K) indicates the next move position of the J pointer when p[j]! = T[i].When J is 0 o'clock, if this time does not match, J already on the leftmost, can not move again, this time should be I pointer back move. So in the code there will be next[0] =-1; this initialization.P[K]! = P[

① problem: If there is a tuple or sequence containing n multiple elements, now you want to break it down into n separate variables. 1 L = (4, 5)2 x, y = lView Code② Advanced article:data = ['sb' ' big hammer ', (2018, 6, 2 = dataa='sb'b=' big hammer ' C=51Date= (2018, 6, 2)③data = ['sb' ' big hammer ', (2018, 6, 2 == 2018= 6= 2View CodeSo then the question comes, this is to know the list of how much of the situation to achieve, if the unknown? that

numbering unit 　　You can use the stack to do 10-in-2~9 binary operationsHere's how: a decimal number A, binary B1> will a%b, press into the stack2> Replace A with A/b3> if a is greater than 0, continue to hit 1> repeatedlyIf it is less than 0, jump out4> the elements of the stack pop up once, forming a new character (the character is the result of conversion completion)As an example:　　10 to 2 binary:10%2 = 0--into the stack--05%2 =--1 in the stack, 02%2 = 0--into the stack--0, 1, 01%2 =--1 in s

1. Code implementationdefMerge_sort (alist):ifLen (alist) : returnalist#two-part decompositionnum = Len (alist)/2 Left=Merge_sort (Alist[:num]) right=Merge_sort (alist[num:])#Merging returnmerge (Left,right)defmerge (left, right):" "merge operation, combine two ordered arrays left[] and right[] into a large ordered array" " #The subscript pointer to left and rightL, R =0, 0 result= [] whileL andrLen (right):ifLEFT[L] Right[r]: Result.append (Left[l]) L+ = 1Else: Result.append (R

1. How to find two pointsFind the fastest speed for a sorted list2. Code implementation(1) Recursive implementationdefBinary_search (Alist, item):ifLen (alist) = =0:returnFalseElse: Midpoint= Len (alist)//2ifalist[midpoint]==Item:returnTrueElse: ifitemAlist[midpoint]:returnBinary_search (Alist[:midpoint],item)Else: returnBinary_search (alist[midpoint+1:],item) testlist= [0, 1, 2, 8, 13, 17, 19, 32, 42,]Print(Binary_search (Testlist, 3))Print(Binary_search (Testlist, 13))(2) N

1. Principle:2. Code implementationdefQuick_sort (alist, Start, end):"""Quick Sort""" #Recursive exit conditions ifStart >=End:return #sets the starting element as the datum element to find the positionMID =Alist[start]#Low is the left-to-right cursor for the left of the sequenceLow =Start#High is the right-to-left cursor to the right of the sequenceHigh =End whileLow High :#If low is not coincident with high, the element with high points is not smaller than the datum element, then high

1. Basic properties of stacks and queues Stack is advanced after out; (like a bullet clip, a last-shot first) Queues are FIFO; (like waiting in line to buy ice cream, in order to take turns) Stack and queue in the implementation of the structure can have an array and a list of two forms; (1) The array structure is easy to implement;(2) The structure of the linked list is more complicated, because it involves a lot of pointer operation;1.1 Basic operation of stack structure(1) Pop op

value.Similarly, when an element of the RightMark position is greater than or equal to the base value, RightMark moves to the left one position to continue scanning, and the scan stops when the element of the RightMark position is less than the base value.After stopping the scan, we compare the size of the Leftmark and RightMark, if the Rightmark　　After we have put the datum values in the correct position, we see that the elements on the left side of the base value are smaller than the datum va

"Select Sort"The selection sort is based on a bubbling sort (Bubble sort) that has been improved: each visit process (pass) needs to be exchanged at most.Each visit process, to find the maximum value, when the end of the visit, the maximum value is exchanged to the correct position;Then continue to repeat the process in the remaining sublist until the n-1 visit is completed (n is the length of the list);At this point, the remaining elements in the list are automatically aligned to the correct po

= [] showing the same gender; Let len = this.list.length; while (len--) {if (This.list[len].gender = = = Gender) {Ret.push (this.list[len].name); }} return ret;} Example let people = new person ();p eople.save (' Mazey ', ' Male ');p eople.save (' John ', ' Male ');p eople.save (' Zero ', ' Male '); People.save (' July ', ' Male ');p eople.save (' Bob ', ' Male ');p eople.save (' Ada ', ' female ');p eople.save (' Cherrie ', ' female ');p eople.save (' Luna ', ' female ');p eople.save

This article illustrates the fast sequencing of data structures and algorithms implemented by Python. Share to everyone for your reference. The specific analysis is as follows: I. Overview Quick Sort is a sort of divide-and-conquer algorithm. The algorithm first selects a partitioning element (partition element, sometimes called a pivot), and then rearranges th

;}/* Loop to delete the queue node */while (P.LINK!=P){for (i=0;i{R=p;P=p.link;}R.link=p.link;Console.WriteLine ("deleted element: {0}", P.data);Free (p);P=r.node.;}Console.WriteLine ("\ n the last element removed is: {0}", P.data);The specific algorithm:650) this.width=650; "Width=" 620 "height=" 420 "src=" http://files.jb51.net/file_images/article/201211/ 2012110120510432.png "/>The complexity of the time of this algorithm is O (n2)}Reference: http://www.jb51.net/article/31698.htmThis article

= {'x': 1,'Z': 3}b= {'y': 2,'Z': 4 } fromCollectionsImportCHAINMAPC=Chainmap (A, b)Print(c['x'])#Outputs 1 (from a)Print(c['y'])#Outputs 2 (from B)Print(c['Z'])#Outputs 3 (from a)Idea 2:dict_bak.update ({new_dict}), update the original dictionary (copy), the original duplicate key's value will be overwritten, can only query to the new dictionary data, the original dictionary changes can not be reflected synchronouslyTest = Dict (a) #用dict生成原字典的副本

Time Test This book uses a practical method to analyze the data structures and algorithms to be studied. We prefer to use a simple benchmarking method instead of Big O analysis. This test tells us how many seconds (or other time units) it takes to run a code segment. Our benchmark test time test measures the time it takes to run an algorithm. Benchmarking is a sc

This article mainly introduces the binary tree of JavaScript Data Structures and Algorithms. This article describes the concept of binary tree, the characteristics of binary tree, the definition of binary tree nodes, and the maximum and minimum values for searching, for more information, see Binary Tree concept A Binary Tree is a finite set of n (n> = 0) nodes.

(Long value) {Reference the current node, starting at the root nodeNode current = root;Loop, as long as the lookup value is not equal to the current node's data itemwhile (current.data! = value) {Compare the lookup value and the size of the current nodeif (Current.data > value) {current = Current.leftchild;} else {current = Current.rightchild;}If you do not find theif (current = = null) {return null;}}return current;}/*** Delete Node* @param value*/p

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

than D), but the cardinality sort is only suitable for a key code with distinct structural characteristics such as strings and integers. When n is large and d is small, it can be sorted by cardinality. (5The sorting algorithm discussed earlier, in addition to the Cardinal sort, the other sorting algorithm is the sequential storage structure. In order to avoid a significant amount of time to record movement, a chain storage structure can be used in order to sort the records. Direct Insert sor

data in the stack:int top;initially, when the stack is empty, set: top =–1to avoid stack overflow, you need to check if the stack is full before adding elements to the stack. Let's modify this algorithm to check for this condition. Problem Description:write a program to implement a stack by using an array that requires the stack to hold5an element. So-kinsoku-overflow:1 ' >Using system;using system.collections.generic;using system.componentmodel;usin