udacity algorithms and data structures

Optimal time complexity: O (n) (in ascending order, sequence already in ascending state) Worst time complexity: O (n2) Stability: Stable Code:"" "Insert sort Time complexity: O (n*n) Stability: Stable" "" "" Import randomimport timedef Insert_sort (list): n = len (list) # from the second position start inserting subscript 1 for J in Range (1,n): # Start comparison from the first J element if it is less than the previous element, the interchange position for

is greater than the length of the otherSet, the system returns false if (this. size ()> otherSet. size () {return false;} else {// converts the current set to an array var values = this. values (); for (var I = 0; I Set in ES6 ES6 also provides collections, but the collection operations of ES6 have been confused. After implementation, I can see it again, and the concept is much clearer.I am not very familiar with the specifics. I am still learning, so I won't write it out ~ We recommend that

1. Select the principle of sorting2. Code implementationdefSelection_sort (alist): N=Len (alist)#requires a n-1 selection operation forIinchRange (n-1): #Record minimum positionMin_index =I#Select the minimum data from the i+1 position to the end forJinchRange (i+1, N):ifALIST[J] Alist[min_index]: Min_index=J#If the selected data is not in the correct location, swap ifMin_index! =I

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

Simple single-linked list implementation, the data type is defined as an int, if you want to be generic, you need to change to a template class, and then slightly modified to the next.List.h#include Main.cpp#include "List.h" #include Output:There are some features not implemented, such as the insertion of elements in the specified location, linked list search, etc., because there is no iterator, with index do not be too good, simply do not write forge

Code and are not good at abstracting and summarizing rules. Programmers who are standing in the same place are mostly mixed meals, and they do not take the initiative to learn and improve their own consciousness. Programmers must not only cultivate their own technologies, but also cultivate their own character. Doesn't it mean that most problems in programming are character problems? Of course, this is about the cultivation of the programmer's character and personality. Reference: http://blog.

Python data structures and algorithms-algorithm analysisAn interesting problem often occurs, that is, two seemingly different programs. Which one is better? To answer this question, we must know that the program differs greatly from the algorithm representing the program. the algorithm is a general command that solves the problem. provides a solution to any insta

elements, and the base sorting is for tuples. (2) Basic Idea: from low to high, sort the numbers in order for distribution and collection. After D-train allocation and collection, an ordered sequence can be obtained. (3) For example: Sorting Algorithm comparison Summary People have the strongest ability to process images. I believe you have learned these eight types of sorting through this image. Welcome to the blog update list. My soft test path (1) -- opening (updated) My soft test pat

ordering Elements (1)--Simple sorting This series of articles mainly introduces the knowledge of commonly used algorithms and data structures, records the contents of "Algorithms i/ii" course, adopts "algorithm (4th edition)" This Red Cookbook as a learning material, language is java. I don't have to say much about th

. listsize; return This. listsize; }; This. Find =function(ele) { for(vari=0; i This. listsize; i++){ if( This. datastore[i] = = =ele) { returni; } } return-1; }; This. add=function(ele) { This. datastore[ This. listsize++] =Ele; }; This. Insert =function(Ele, Afterele) {varindex = This. Find (Afterele); if(Index >-1){ This. Datastore.splice (Index, 0, ele); This. listsize++; return true; }Else{ return false; } };

top element and adjust r[1..i-1] to new heap int temp = r[1];//Exchange heap top and base element r[1] = R[i];r[i] = Temp;heapadjust (r, 1, i-1);//Adjustment}}//has Know R[low. High] except R[low], the rest of the elements satisfy the definition of the heap private void Heapadjust (int[] r, int low, int.) {int temp = r[low];for (int j = 2 * low; J 　　C: algorithm ExampleHeapsort.javaPackage Com.test.sort.selection;public class Heapsort {/** * @param args */public static void main (string[] args)

the character before and after the pointer.while (p>s) { *p=*p^*s; *s=*p^*S; *p=*p^*S; p--; s++;} Question 3: How to find the first occurrence of a character in a stringMethod 1: Use the hash table to record the number of occurrences of each character, with the character as the array subscript, and the array size to 256. The first time the scan element will be character statistics, the second pass through to find the first count of 1 characters.Task 4: All subsets of a stringRef

, intersection, and difference operations. So, if you want to perform some normal collection operations on the keys of the collection, you can use the key view objects directly without first converting them to a set.The dictionary's items () method returns an element view object that contains (key, value) pairs. This object also supports collection operations and can be used to find out which two dictionaries have the same key-value pairs.Although the values () method of the dictionary is simila

Tag:prethread Array readinggen thought namelog time Using system;using system.collections.generic;using system.linq;using system.text;using System.Threading.Tasks; Namespace Insert Sort {class Program {static void Main (string[] args) {int[] Arry = {10,3,4,6,7 , 9,8,2,1,0}; Insertsortpro (Arry, 10); for (int i=0;i"Normal insert Sort" is slower than selecting sort, but optimized insert ordering is faster than selecting sort. Insert sort has a feature when the ar

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

Implementation of the Stack// 栈类function Stack () { this.dataStore = []; this.top = 0; // 栈顶位置 相当于length，不是索引。 this.push = push; this.pop = pop; this.peek = peek; this.clear = clear; this.length = length;}// push: 入栈function push (element) { this.dataStore[this.top++] = element;}// pop: 出栈function pop () { return this.dataStore[--this.top];}// peek: 取栈顶元素function peek () { return this.dataStore[this.top - 1];}// clear: 清空栈function clear () { this.top = 0;}// leng

"Merge Sort" Here we use recursive algorithm to keep the list in two, base case is no element in the list or only one element, because this sub-list is bound to be a positive sequence, and then gradually merge the two sorted sub-list into a new positive sequence table, until all the elements sorted."This is a process from the bottom up (bottom-up)Divides the list from the middle into two sub-lists until it reaches the bottom, with only one element in the sub-list　　Then, the two sub-lists are mer

Data structures and algorithms in JavaScript (4): string (BF ), A string is a finite sequence composed of zero or multiple characters. It is also called a string. The logical structure of a string is similar to that of a linear table. The difference is that a string is a character set. Therefore, the operation is quite different from that of a linear table. A lin

of the stack: * Initialize stack, stack, stack, get stack top element, current stack size * * Stack list implementation **/ Public classLinkedstack { Private intCurrentSize;//Current stack size (no size limit for linked list stack) PrivateNode//head Node//Initialize Stack PublicLinkedstack () {Top=NULL;//the head pointer is empty } Public BooleanIsEmpty () {returntop = =NULL; } Public intLength () {returncurrentsize; } //Press Stack Public Booleanpush (T

ordered data function List () {this.listsize = 0; this.pos = 0; this.datastore = []; this.find = Find, ..............} Method: Append: ... Read the full text posted @2014-10-13 09:31jinkspeng read (+) | Comments (0) Edit NBSP;JS: Data structure NOTE 1---An array summary: JS Array: Just a special object, less efficient than other languages; A property is an index used to represent an offset; in JS, a numer