You are reading the article Dimentica I Millennial, È Ora Di Guardare Alla Generazione C updated in December 2023 on the website Moimoishop.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested January 2024 Dimentica I Millennial, È Ora Di Guardare Alla Generazione C
Cosa significa Generazione C?
Lo ammetto: anch’io uso il termine Millennial.
Ho riflettuto e scritto molto sulla cosiddetta Generazione Y. Essendo a capo di una società di social media management, so che una buona fetta dei miei dipendenti e milioni dei nostri utenti appartengono a questa generazione. Ed è evidente che i giovani della Generazione Y siano una fonte di grandi risorse e aspettative per le aziende, sia per le loro competenze digital, sia per il loro desiderio di collaborazione e trasparenza.
Tuttavia, queste caratteristiche non contraddistinguono solo i Millennial.
Non devi essere nato fra il 1980 e il 2000 per vivere attaccato al tuo iPhone o per essere attivo sui social media. Non è neanche vero che i più giovani siano gli unici a cercare di dare uno scopo alla loro carriera, non solo di portare a casa uno stipendio, né che siano i soli a volere fare la differenza.
Ho capito che, sotto molti aspetti, il concetto di Millennial è troppo limitante.
Le aziende sono state incoraggiate a investire le proprie risorse di marketing su questo ristretto settore demografico. Le Risorse Umane hanno cercato di assumere i Millennial e di soddisfare i loro gusti. Ma hanno trascurato la visione d’insieme.
Non si sono accorti della Generazione C.
Ecco cinque caratteristiche fondamentali della Generazione C, e come le aziende possono rivolgersi a questo nuovo importante gruppo e capirlo al meglio.
1. Cos’è la Generazione C?Nel 2012, il Digital Analyst Brian Solis ha definito gli appartenenti alla generazione C come “i consumatori connessi”. Ha spiegato che chiunque abbia integrato la tecnologia nella propria routine quotidiana – a prescindere dall’età anagrafica – condivide certe caratteristiche.
“È il modo in cui le persone adottano le nuove tecnologie, dai social network agli smartphone o altri apparecchi smart, a contribuire allo stile di vita digitale che adesso è conosciuto come ‘Generazione C’” , ha affermato.
Solis non è stato il primo a parlare della Generazione C. Già nel 2004 i ricercatori avevano notato un nuovo gruppo intergenerazionale costituito da persone esperte nell’uso della tecnologia digitale, in grado di creare e curare contenuti, costruire community online, trovare e consumare prodotti in modo diverso.
A seconda della persona a cui ci si rivolge, la C in “Generazione C” può riferirsi a “collaborazione”, “community”, “computerizzato” e “contenuti”. Tuttavia a me piace pensare che, a un livello più profondo, “Generazione C” faccia riferimento alla connettività.
2. Qual è l’età degli appartenenti alla Generazione C?Ecco un aspetto di importanza fondamentale: la Generazione C non è affatto costituita da un gruppo di persone accomunate dal fattore anagrafico. È una questione di mentalità.
Non c’è una data limite per appartenervi. A 15 come a 85 anni, si può esserne membri a pieno titolo. L’appartenenza non è definita nemmeno dallo stato socio-economico, dall’etnia, dall’area geografica di residenza né dai classici marcatori demografici. La Generazione C non rientra nei classici canoni di ricchezza o povertà, centro o periferia, giovinezza o vecchiaia.
La Generazione C è definita dal concetto di connettività, nella sua accezione più completa.
Chi appartiene a questa generazione non è semplicemente online, ma è attivo e coinvolto nelle community online, dai social network più familiari ai siti dove recensire prodotti. Non si limita a usufruire dei contenuti esistenti, ma ne crea e cura di nuovi.
Voglio sottolineare che non si tratta di una tendenza nuova o rivoluzionaria, bensì di un andamento analizzato e teorizzato per anni.
Troppo spesso, però, questi tratti sono stati attribuiti solo ai Millennial. Il concetto di Generazione C, invece, è utile perché libero dai confini arbitrari legati all’età.
3. In che modo la Generazione C interagisce con il mondo?La Generazione C vive nel mondo digitale: la televisione, i supporti cartacei, la radio, ecc. possono rappresentare al massimo dei media accessori.
Passano senza soluzione di continuità dal portatile al tablet allo smartphone, sono connessi in ogni istante, spesso su diverse piattaforme. Tuttavia l’aspetto più importante è legato al modo in cui la Generazione C utilizza i dispositivi, ossia come strumenti di partecipazione, non di consumo passivo.
Lo streaming video e i social media occupano la maggior parte del tempo che i membri di questa generazione passano online. Invece di affidarsi alle fonti di informazione tradizionali, ottengono le notizie dai feed dei social media: stream basati su algoritmi in Facebook, Twitter, LinkedIn e altri network che aggiungono le preferenze di amici e follower.
4. Qual è la chiave per raggiungere la Generazione C?Per raggiungere noi membri della Generazione C (io mi considero indubbiamente uno di loro) occorre entrare nelle nostre vite, alle nostre condizioni.
I media tradizionali non ci riescono. Persino il marketing e gli annunci digitali tradizionali non possono raggiungere un pubblico esperto nel bloccare ogni tipo di pubblicità digitale. I contenuti di cui più ci fidiamo sono quelli condivisi sui nostri network personali.
Per le aziende, si tratta del Santo Graal dell’approvazione: la raccomandazione tramite passaparola su Facebook, un meme creativo che diventa virale su Twitter, un like da parte di un influencer popolare.
Raggiungere la Generazione C significa avere un’ottima consapevolezza del potere dei clic: l’arte di creare contenuti condivisibili, di intrattenimento, utili e di forte impatto visivo. In un’epoca in cui le fonti di informazione e intrattenimento sono illimitate, non si può pensare di dirottare l’attenzione su qualcosa di banale come un annuncio pubblicitario.
Ecco perché stabilire una connessione con la Generazione C implica un profondo investimento sui social media, sia mentale che finanziario. Facebook, Twitter, Instagram, Snapchat, LinkedIn: è questa la rete neurale attraverso cui la Generazione C si confronta e comunica con il mondo, sia con quello attorno a sé sia quello globale.
5. Quanto è grande la Generazione C?Poco più di dieci anni fa, le sue fila contavano solo pochi utenti: una prima ondata di pionieri che si sono immersi nel mondo dei social media e della creazione di contenuti digitali.
Oggi, però, si parla di cifre ben più alte. La tecnologia mobile e le connessioni internet ad alta velocità hanno cambiato completamente il panorama a cui eravamo abituati.
La verità è che la Generazione C è dappertutto: vi appartengono tantissimi Millennial, ma anche membri delle Generazioni X e Z, e persino i cosiddetti “Baby Boomer”. La trasformazione digitale, insieme a tutti i cambiamenti culturali che hanno accompagnato il boom della connettività, ha annullato le barriere anagrafiche tradizionali.
Questi cambiamenti non sono affatto confinati a un singolo gruppo di appassionati di birra artigianale poco più che ventenni. Negli ultimi anni, abbiamo abusato dell’idea di Millennial.
È ora di metterla da parte. Nel mondo del marketing, delle assunzioni, della connessione, l’età sta diventando un concetto sempre più arbitrario.
L’era della Generazione Y, o dei cosiddetti Millennial, si sta esaurendo (ed è giusto così).
Lunga vita alla Generazione C!
Gestisci le tue campagne di social media marketing in modo intelligente. Usa Hootsuite per programmare i post, coinvolgere la community e analizzare i risultati ottenuti.
Provalo gratis!
You're reading Dimentica I Millennial, È Ora Di Guardare Alla Generazione C
File Handling In C#: I/O Operations
C# has a wide array of file operations. These operations include opening a file, reading or writing to a file. There can be instances wherein you want to work with files directly, in which case you would use the file operations available in C#. Some of the basic file operations are mentioned below.
Reading – This operation is the basic read operation wherein data is read from a file.
Writing – This operation is the basic write operation wherein data is written to a file. By default, all existing contents are removed from the file, and new content is written.
Appending – This operation also involves writing information to a file. The only difference is that the existing data in a file is not overwritten. The new data to be written is added at the end of the file.
In this tutorial, you will learn-
Basics I/O CommandsThe file will be a simple text file and have 2 lines as shown below
Guru99 – .Net
Guru99 -C#
For our example, we will create a simple Console application and work with our File I/O commands. The console application is the basic one which was created in the earlier tutorial. In the console application, all code is written to the chúng tôi file.
The File exists method is used to check if a particular file exists. So now let’s see the code which can be used to check if our chúng tôi file exists or not. Enter the below code in the chúng tôi file.
using System; using System.Collections.Generic; using System.IO; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Tutorial { static void Main(string[] args) { String path = @"D:Example.txt"; if (File.Exists(path)) { Console.WriteLine("File Exists"); } Console.ReadKey(); } } } Code Explanation:-
First, we are setting a string variable with the path to our chúng tôi file.
Next, we use the File.Exists method to check if the file exists or not. If the File exists, a true value will be returned.
If we get a true value and the file does exist, then we write the message “File Exists” to the console.
When the above code is set, and the project is executed using Visual Studio, you will get the below output.
Output:-
From the above output, you can see that the File.Exists command was executed successfully, and the correct message was displayed in the console window.
The method is used to read all the lines one by one in a file. The lines are then stored in a string array variable. Let’s look at an example. Enter the below code in the chúng tôi file.
using System; using System.Collections.Generic; using System.IO; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Tutorial { static void Main(string[] args) { String path = @"D:Example.txt"; String[] lines; lines = File.ReadAllLines(path); Console.WriteLine(lines[0]); Console.WriteLine(lines[1]); Console.ReadKey(); } } } Code Explanation:-
First, we are declaring a string array variable. This will be used to store the result which will be returned by the File.ReadAllLines method.
Next, we use the File.ReadAllLines method to read all the lines from our text file. The result is then passed to the lines variable.
Since we know that our file contains only 2 lines, we can access the value of the array variables via the lines[0] and lines[1] command.
When the above code is set, and the project is run using Visual Studio, you will get the below output.
Output:-From the output, you can see that the File.ReadAllLines command returned both the lines from our file Example.txt
This method is used to read all the lines in a file at once. The lines are then stored in a string variable. Let’s look at an example. Enter the below code in the chúng tôi file.
using System; using System.Collections.Generic; using System.IO; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Tutorial { static void Main(string[] args) { String path = @"D:Example.txt"; String lines; lines = File.ReadAllText(path); Console.WriteLine(lines); Console.ReadKey(); } } } Code Explanation:-
First, we are declaring a string variable called Lines. This will be used to store the result which will be returned by the File.ReadAllText method.
Next, we use the File.ReadAllText method to read all the lines from our text file. The result is then passed to the lines variable.
We can directly use the Console.Writeline method to display the value of the Lines variable.
When the above code is set, and the project is run using Visual Studio, you will get the below output.
Output:-From the output, you can see that the File.ReadAlltext command returned both the lines from our file Example.txt
The method is used to make a copy of an existing file. Let’s look at an example. Enter the below code in the chúng tôi file.
using System; using System.IO; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Tutorial { static void Main(string[] args) { String path = @"D:Example.txt"; String copypath = @"D:ExampleNew.txt"; File.Copy(path,copypath); Console.ReadKey(); } } } Code Explanation:-
First, we are declaring a string variable called path. This will be the location of our chúng tôi file. This file will be the source file used for the copy operation.
Next, we are declaring a string variable called copypath. This will be the location of a new file called chúng tôi file. This will be the destination file in which the contents will be written from the source file Example.txt.
We then call the chúng tôi method to copy the file chúng tôi file to the file ExampleNew.txt.
When the above code is set, and the project is run using Visual Studio, the file chúng tôi will be copied to ExampleNew.txt.
The method is used to delete an existing file. Let’s look at an example. Enter the below code in the chúng tôi file.
using System; using System.IO; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Tutorial { static void Main(string[] args) { String path = @"D:Example.txt"; File.Delete(path); Console.ReadKey(); } } } Code Explanation:-
First, we are declaring a string variable called path. This will be the location of our chúng tôi file. This is the file which will be deleted.
Next, we are calling the File.Delete method to delete the file.
When the above code is set, and the project is run using Visual Studio, the file chúng tôi will be deleted from the D drive.
Summary
C# has a number of File operations which can be performed on files. Most of these operations are part of the class File.
If you want to read data from a file, you can use the File.ReadAlltext or File.ReadAllLines methods.
File Method Description
File.Exists File exists method is used to check if a particular file exists.
File.ReadAlllines The method is used to read all the lines one by one in a file.
File.ReadAllText This method is used to read all the lines in a file at once.
File.Copy The method is used to make a copy of an existing file.
File.Delete The method is used to delete an existing file.
Bucket Sort Algorithm (Java, Python, C/C++ Code Examples)
What is Bucket Sort?
Bucket sort, often called bin sort, is a comparison sort method that accepts an unsorted array as an input and produces a sorted array as a result. This method works by distributing the elements into several buckets and sorting each of those buckets individually by any sorting algorithm such as insertion sort. Then all the buckets are merged together to form a sorted array.
Bucket sort is commonly used when the elements are-
Floating-point values
Uniformly distributed over a range
Bucket sort’s time complexity depends on the number of buckets used and the uniformity of the input distribution. While different sorting algorithms such as shell sort, merge sort, heapsort, and quicksort can achieve the best-case time complexity of O(n*logn), the bucket sorting algorithm can achieve the same in linear time complexity or O(n).
Bucket sort follows the scatter-gather approach. Applying this approach, elements are scattered into the corresponding buckets, sorted in the buckets, and gathered to form a sorted array as the final step. This scatter-gather approach is discussed in the following section
Scatter-Gather-Approach
Large-scale, complex problems can occasionally be challenging to solve. The scatter-gather approach attempts to solve such problems by dividing the entire data set into clusters. Then each cluster is addressed separately and brought everything back together to get the final answer.
This is how the bucket sorting algorithm implements the scatter-gather method:
How Bucket Sort WorksThe basic working principle of bucket sort is as follows:
A set of empty buckets is created. Based on different policies, the number of buckets can differ.
From the input array, put each element into its corresponding bucket.
Sort those buckets individually.
Concatenate the sorted buckets to create a single output array.
The in-detailed work steps are provided in the following sections.
Pseudo Code Start Create N empty buckets For each array element: Calculate bucket index Put that element into the corresponding bucket For each bucket: Sort elements within each bucket Merge all the elements from each bucket Output the sorted array End Method 1: Bucket Sort Algorithm for Floating-Point NumbersThe bucket sorting algorithm for floating point numbers within the range from 0.0 to 1.0:
Step 1) Create ten(10) empty buckets such that the first bucket will contain numbers within the range [0.0, 0.1). Then the second bucket will contain within [0.1, 0.2), and so on.
Step 2) For each array element:
bucket index= no_of_buckets *array_element
b. Insert the element into the bucket[bucket_index]
Step 3) Sort each bucket individually using insertion sort.
Step 4) Concatenate all buckets into a single array.
Let’s see a bucket sort example. For this example, we will sort the following array using the bucket sort algorithm-
Step 1) First, we will create 10 empty buckets. The first bucket will contain the numbers between [0.0, 0.1). Then the second bucket will contain the numbers between [0.1, 0.2) and so on.
Step 2) For each array element, we will calculate the bucket index and place the element into that bucket.
bucket_index= no_of_buckets*array_element
Hence, the element 0.78 will be stored on the bucket[floor(7.8)] or bucket[7].
= 1.7
The array element 0.17 will be stored on bucket[floor(1.7)] or bucket[1].
0.39 will be stored on bucket[floor(3.9)] or bucket[3].
After iterating over all array elements, the buckets will be the following:
Step 3) Then, each bucket will be sorted using insertion sort. After the sorting operation, the output would be:
Step 4) In the final step, the buckets will be concatenated into a single array. That array will be the sorted outcome of the input.
Each bucket will be concatenated to the output array. For example-the concatenation of the second bucket elements:
The concatenation of the last bucket elements will be the following:
After concatenation, the resulting array will be the desired sorted array.
Bucket Sort Program in C/C++Input:
#define BUCKET_SIZE 10 using namespace std; void bucketSort(float input[], int array_size) { for (int i = 0; i < array_size; i++) { int index = BUCKET_SIZE*input[i]; bucket[index].push_back(input[i]); } for (int i = 0; i < BUCKET_SIZE; i++) sort(bucket[i].begin(), bucket[i].end()); int out_index = 0; for (int i = 0; i < BUCKET_SIZE; i++) for (int j = 0; j < bucket[i].size(); j++) input[out_index++] = bucket[i][j]; } int main() { float input[]={0.78,0.17,0.39,0.26,0.72,0.94,0.21,0.12,0.23,0.69}; int array_size = sizeof(input)/sizeof(input[0]); bucketSort(input, array_size); cout <<"Sorted Output: n"; for (int i = 0; i< array_size; i++) cout<<input[i]<<" "; return 0; }Output:
Sorted Output: 0.12 0.17 0.21 0.23 0.26 0.39 0.69 0.72 0.78 0.94 Bucket Sort Program in PythonInput:
# Bucket Sort Program in Python # For not having integer parts def bucketSort(input): output = [] bucket_size = 10 for bucket in range(bucket_size): output.append([]) for element in input: index = int(bucket_size * element) output[index].append(element) for bucket in range(bucket_size): output[bucket] = sorted(output[bucket]) out_index = 0 for bucket in range(bucket_size): for element in range(len(output[bucket])): input[out_index] = output[bucket][element] out_index += 1 return input input = [0.78, 0.17, 0.39, 0.26, 0.72, 0.94, 0.21, 0.12, 0.23, 0.69] print("Sorted Output:") print(bucketSort(input))Output:
Sorted Output: [0.12, 0.17, 0.21, 0.23, 0.26, 0.39, 0.69, 0.72, 0.78, 0.94] Bucket Sort in JavaInput:
import java.util.ArrayList; import java.util.Collections; import java.util.List; public class BucketSort { private static final int BUCKET_SIZE = 10; public static void bucketSort(float[] input, int arraySize) { List < [] bucket = new ArrayList[BUCKET_SIZE]; for (int i = 0; i < arraySize; i++) { int index = (int)(BUCKET_SIZE * input[i]); if (bucket[index] == null) { (); } bucket[index].add(input[i]); } for (int i = 0; i < BUCKET_SIZE; i++) { if (bucket[i] != null) { Collections.sort(bucket[i]); } } int outIndex = 0; for (int i = 0; i < BUCKET_SIZE; i++) { if (bucket[i] != null) { for (float value: bucket[i]) { input[outIndex++] = value; } } } } public static void main(String[] args) { float[] input = {0.78f,0.17f,0.39f,0.26f,0.72f,0.94f,0.21f,0.12f,0.23f,0.69f}; int arraySize = input.length; bucketSort(input, arraySize); System.out.println("Sorted Output:"); for (int i = 0; i < arraySize; i++) { System.out.print(input[i]+" "); } } }Output:
Sorted Output: 0.12 0.17 0.21 0.23 0.26 0.39 0.69 0.72 0.78 0.94 Method 2: Bucket Sort Algorithm for Integer ElementsThe bucket sort algorithm for the input that contains numbers beyond the range [0.0, 1.0] is a little bit different than the previous algorithm. The steps required for this case are as follows-
Step 1) Find the maximum and minimum elements.
Step 2) Select the number of buckets, n, and initialize those buckets as empty.
span = (maximum - minimum)/n
Step 4) For each array element:
bucket_index = (element - minimum)/span
2.Insert the element into bucket[bucket_index]
Step 5) Sort each bucket using insertion sort.
Step 6) Concatenate all the buckets into a single array.
Let’s see an example of this bucket sort algorithm. For this example, we will sort the following array using the bucket sort algorithm-
Step 1) In the first step, the maximum and minimum elements of the given array need to be found. For this example, the maximum is 24 and the minimum is 1.
Step 2) Now, we have to select a number of empty buckets, n. In this example, we will take 5 buckets. Then we will initialize them as empty.
span = (maximum-minimum)/n = (24-1)/5 = 4;
Hence, the first bucket will contain the numbers within the range [0, 5). The second bucket will contain the numbers within [5, 10) and so on.
bucket_index = (element - minimum)/span
Bucket Index Calculation:
=2
Thus, element 11 will be stored in bucket[2].
=2
Note: As 9 is a boundary element for the bucket[1], it needs to be appended in bucket[1] instead of appending in the same bucket of the previous element.
After performing the operations for each element, the buckets will be as follows:
Step 5) Now, each bucket will be sorted using insertion sort. The buckets after sorting-
Step 6) In the final step, the buckets will be concatenated into a single array. That array will be the sorted outcome of the input.
Bucket Sort Program in C/C++Input:
using namespace std; { double max_value = * max_element(input.begin(), input.end()); double min_value = * min_element(input.begin(), input.end()); double span = (max_value – min_value) / No_Of_Buckets; output; for (int i = 0; i < No_Of_Buckets; i++) ()); for (int i = 0; i < input.size(); i++) { double difference = (input[i] – min_value) / span – int((input[i] – min_value) / span); if (difference == 0 && input[i] != min_value) output[int((input[i] – min_value) / span) – 1] .push_back(input[i]); else output[int((input[i] – min_value) / span)].push_back( input[i]); } for (int i = 0; i < output.size(); i++) { if (!output[i].empty()) sort(output[i].begin(), output[i].end()); } int index = 0; { if (!bucket.empty()) { for (double i: bucket) { input[index] = i; index++; } } } } int main() { input ={11,9,21,8,17,19,13,1,24,12 }; int No_Of_Buckets = 5; bucketSort(input, No_Of_Buckets); cout<< “Sorted Output:”; for (int i; i < input.size(); i++) cout <<input[i]<<” “; return 0; }
Output:
Sorted Output:1 8 9 11 12 13 17 19 21 24 Bucket Sort Program in PythonInput:
def bucketSort(input, No_Of_Buckets): max_element = max(input) min_element = min(input) span = (max_element - min_element) / No_Of_Buckets output = [] for bucket in range(No_Of_Buckets): output.append([]) for element in range(len(input)): diff = (input[element] - min_element) / span - int( (input[element] - min_element) / span ) if diff == 0 and input[element] != min_element: output[int((input[element] - min_element) / span) - 1].append( input[element] ) else: output[int((input[element] - min_element) / span)].append(input[element]) for bucket in range(len(output)): if len(output[bucket]) != 0: output[bucket].sort() index = 0 for bucket in output: if bucket: for element in bucket: input[index] = element index = index + 1 input = [11, 9, 21, 8, 17, 19, 13, 1, 24, 12] No_Of_Buckets = 5 bucketSort(input, No_Of_Buckets) print("Sorted Output:n", input)Output:
Sorted Output: [1, 8, 9, 11, 12, 13, 17, 19, 21, 24] Bucket Sort in JavaInput:
import java.util.ArrayList; import java.util.Collections; import java.util.List; public class BucketSort { double max_value = Collections.max(input); double min_value = Collections.min(input); double span =(max_value - min_value) / No_Of_Buckets; List < List < (); for (int i = 0; i < No_Of_Buckets; i++) { ()); } for (Double value: input) { double difference = (value - min_value) / span - ((value - min_value) / span); if (difference == 0 && value != min_value) { output.get((int)((value - min_value) / span) - 1).add(value); } else { output.get((int)((value - min_value) / span)).add(value); } } if (!bucket.isEmpty()) { Collections.sort(bucket); } } int index = 0; if (!bucket.isEmpty()) { for (Double value: bucket) { input.set(index,value); index++; } } } } public static void main(String[] args) { (); input.add(11.0); input.add(9.0); input.add(21.0); input.add(8.0); input.add(17.0); input.add(19.0); input.add(13.0); input.add(1.0); input.add(24.0); input.add(12.0); int No_Of_Buckets = 5; bucketSort(input, No_Of_Buckets); System.out.println("Sorted Output:"); for (Double value: input) { System.out.print(value + " "); } } }Output:
Sorted Output: 1.0 8.0 9.0 11.0 12.0 13.0 17.0 19.0 21.0 24.0 Pros & ConsPros Cons
Perform faster computation Consumes more space compared to other algorithms
It can be used as an external sorting method Performs poorly when the data is not uniformly distributed
Buckets can be processed independently
Bucket Sort Complexity Analysis Bucket Sort’s Time Complexity:
Best Case Complexity:If all the array elements are uniformly distributed and sorted beforehand, it would require O(n) time to scatter the elements into the corresponding buckets. Then sorting each bucket using insertion sort would cost O(k). Thus the overall complexity would be O(n+k).
Average Case Complexity:For average cases, we assume the inputs are uniformly distributed. Thus the bucket sorting algorithm achieves linear time complexity of O(n+k). Here O(n) time is required for scattering the elements and O(k) time is required for sorting those elements using insertion sort.
Worst Case Complexity:In the worst case, the elements will not be uniformly distributed and concentrated over one or two specific buckets. In that case, bucket sort will work as a bubble sort algorithm. Hence, in the worst case, the time complexity of a bucket sort would be O(n^2).
Space Complexity of Bucket Sort:Bucket sort’s space complexity is O(n*k). Here n is the number of elements and k is the number of buckets required.
C# Queue With Examples: What Is C# Queue And How To Use?
What is Queue in C#?
The Queue is a special case collection which represents a first in first out concept. Imagine a queue of people waiting for the bus. Normally, the first person who enters the queue will be the first person to enter the bus. Similarly, the last person to enter the queue will be the last person to enter into the bus. Elements are added to the queue, one on the top of each other.
The process of adding an element to the queue is the enqueuer operation. To remove an element from a queue, you can use the dequeuer operation. The operation in Queues C# is similar to stack we saw previously.
Let’s look at how to use Queue in C# and the operations available for the Queue collection in C# in more details.
Declaration of the QueueThe declaration of a Queue is provided below. A Queue is created with the help of the Queue Data type. The “new” keyword is used to create an object of a Queue. The object is then assigned to the variable qt.
Queue qt = new Queue() Adding elements to the QueueThe enqueue method is used to add an element onto the queue. The general syntax of the statement is given below.
Queue.enqueue(element) Removing elements from the queueThe dequeue method is used to remove an element from the queue. The dequeue operation will return the first element of the queue. The general syntax of the statement is given below
Queue.dequeue() CountThis property is used to get the number of items in the queue. Below is the general syntax of this statement.
Queue.Count Contains
This method is used to see if an element is present in the Queue. Below is the general syntax of this statement. The statement will return true if the element exists, else it will return the value false.
Queue.Contains(element)Now, let’s see this working at a code level. All of the below-mentioned code will be written to our Console application.
The code will be written to our chúng tôi file. In the below program, we will write the code to see how we can use the above-mentioned methods.
ExampleIn this Queue in C# example, we will see how a queue gets created. Next, we will see how to display the elements of the queue, and use the Count and Contain methods.
C# Queue example
using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Program { static void Main(string[] args) { Queue qt = new Queue(); qt.Enqueue(1); qt.Enqueue(2); qt.Enqueue(3); foreach (Object obj in qt) { Console.WriteLine(obj); } Console.WriteLine(); Console.WriteLine(); Console.WriteLine("The number of elements in the Queue " + qt.Count); Console.WriteLine("Does the Queue contain " + qt.Contains(3)); Console.ReadKey(); } } } Code Explanation
The first step is used to declare the Queue. Here we are declaring qt as a variable to hold the elements of our Queue.
Next, we add 3 elements to our Queue. Each element is added via the “enqueue” method.
Now one thing that needs to be noted about Queues is that the elements cannot be accessed via the index position like the array list. We need to use a different approach to display the elements of the Queue. So here’s how we go about displaying the elements of a queue.
We first declare a temporary variable called obj. This will be used to hold each element of the Queue.
We then use the foreach statement to go through each element of the Queue.
For each Queue element, the value is assigned to the obj variable.
We then use the Console.Writeline command to display the value to the console.
We are using the “Count” property to get the number of items in the Queue. This property will return a number. We then display this value to the console.
We then use the “Contains” method to see if the value of 3 is present in our Queue. This will return either a true or false value. We then display this return value to the console.
If the above code is entered properly and the program is run the following output will be displayed.
OutputQueue C# example
From the output, we can clearly see that the elements of the Queue are displayed. Note that, unlike “stack” in “queue” the first element pushed on to the queue is displayed first. The count of queue elements is also shown in the output. Also, the value of True is displayed to say that the value of 3 is defined on the queue.
C# Queue DequeueNow let’s look at the remove functionality. We will see the code required to remove the last element from the queue.
C# Queue Dequeue example
using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace DemoApplication { class Program { static void Main(string[] args) { Queue qt = new Queue(); qt.Enqueue(1); qt.Enqueue(2); qt.Enqueue(3); qt.Dequeue(); foreach (Object obj in qt) { Console.WriteLine(obj); } Console.ReadKey(); } } } Code Explanation
Here we just issue the “dequeue” method, which is used to remove an element from the queue. This method will remove the first element of the queue.
If the above code is entered properly and the program is run the following output will be displayed.
Output:C# Queue Dequeue example
From the output, we can see that the first element which was added to the queue, which was the element 1, was removed from the queue.
SummaryA Queue is based on the first in first out concept. The operation of adding an element to the queue is called the enqueue operation. The operation of removing an element to the queue is called the dequeue operation.
Circular Linked List In C++
Introduction to Circular linked list in C++
Web development, programming languages, Software testing & others
Syntax
Let’s see the declaration syntax of the circular linked list as follows,
struct Node { int data_; struct Node *next_; };To implementing the linked list to maintain the pointer “last”, this links to the last node in the circular linked list.
How Circular linked list works in C++?The circular linked list is a variant of a linked list, where nodes are linked within several formats to form a circular chain. In this, the next pointer of the last node is not null; it contains the addresses of the initial node to form a circular chain.
Insertion of the ListIn the circular linked list, there are of three insertion operations were performed; they are
Inserting_at_beginning
Inserting_at_end
Inserting_at_specificNode
Deletion of the ListIn the circular linked list, there are of three deletion operations were performed; they are
Deleting_at_beginning
Deleting_at_end
Deleting_at_specificNode
Traversing Circular Linked ListTraversing a list is nothing but displaying the elements of a circular linked list; the display process is as follows,
if (last_ == NULL) { cout << "Circular linked List is Empty." << endl; return; } do { cout<<"nn"; }
First to check whether the list is empty that is head = = NULL
If the list is empty, it displays as “List is Empty”, and it exits the function
If the list is not empty, it defines a pointer ‘temp’ and initializes the head node. It keeps displaying the data as temp data until temp reaches the last node.
Finally, it displays temp data with a pointer to head data.
Examples of Circular linked list in C++Let’s see the Circular linked list with several operations such as insertion, deletion, and traversal of the list programmatically as follows,
using namespace std; struct Node { int data; struct Node *next; }; struct Node *Inserting_At_Empty(struct Node *last_, int new_data) { if (last_ != NULL) return last_; struct Node *temp = new Node; last_ = temp; return last_; } struct Node *Inserting_At_Begin(struct Node *last_, int new_data) { if (last_ == NULL) return Inserting_At_Empty(last_, new_data); struct Node *temp = new Node; return last_; } struct Node *Inserting_At_End(struct Node *last_, int new_data) { if (last_ == NULL) return Inserting_At_Empty(last_, new_data); struct Node *temp = new Node; last_ = temp; return last_; } struct Node *Inserting_After(struct Node *last_, int new_data, int after_item) { if (last_ == NULL) return NULL; struct Node *temp, *p; do { { temp = new Node; if (p == last_) last_ = temp; return last_; } cout << “Node Data “<<after_item << ” is not present in the list.” << endl; return last_; } void Traversing_List(struct Node *last_) { struct Node *p; if (last_ == NULL) { cout << “Circular linked List is Empty.” << endl; return; } do { cout<<“nn”; } void Deleting_Node(Node** head, int key) { if (*head == NULL) return; free(*head); *head=NULL; } Node *last_=*head,*d; free(*head); } } cout<<“Deletion Processn”; cout<<“Node-Data ” <<key<<” Deleted from list”<<endl; free(d); cout<<endl; cout<<“Once deletion done, the Circular linked list “<<key<<” as follows:”<<endl; Traversing_List(last_); } else cout<<“Node-Data”<< key << ” not in the list”<<endl; } int main() { struct Node *last_ = NULL; last_ = Inserting_At_Empty(last_, 25); last_ = Inserting_At_Begin(last_, 55); last_ = Inserting_At_Begin(last_, 65); last_ = Inserting_At_End(last_, 15); last_ = Inserting_At_End(last_, 75); last_ = Inserting_After(last_, 55,75 ); cout<<“Circular Linked Listn”; cout<<“Circular Linked List is Created:n”<<endl; Traversing_List(last_); Deleting_Node(&last_,15); return 0; }
When a node is not present in the list
Recommended ArticlesThis is a guide to Circular linked list in C++. Here we discuss the Circular Linked List, which is a collection of nodes where every node links to form a circle. You may also look at the following articles to learn more –
Fujitsu Fmv Loox C Culv 11.6
Fujitsu FMV LOOX C CULV 11.6-inch ultraportables debut
Fujitsu Japan have announced their first CULV based ultraportable, in the shape of the 11.6-inch FMV LOOX C. The new notebook offers a choice of Intel 1.2GHz Celeron SU2300 or 1.4GHz Core 2 Duo SU9400 processors, paired with the GS45 Express chipset and GMA 4500MHD graphics driving the 1,366 x 768 display.Update: Fujitsu Europe have just announced the same CULV ultraportables as the Lifebook P3310, which will arrive in Europe, Middle East and Asia from November 9th in Ruby Red. A second version, with 3G/UMTS connectivity, will arrive from November 23rd in black and silver. Full press release after the cut.
There’s also 2GB of RAM, a 320GB hard-drive, WiFi b/g/n and Bluetooth 2.1+EDR as standard, together with Windows 7 and three USB 2.0 ports. Other connectivity includes VGA, ethernet, a multiformat card reader and audio in/out. The whole thing weighs 1.6kg.
Press Release:
Sleek Design and Value in Fujitsu’s LIFEBOOK P3110
Appealing design, connectivity and energy-saving components set LIFEBOOK P3110 apart
Munich, October 13, 2009 —
Fujitsu today announces availability of the new LIFBOOK P3110, a sleek, ultra-thin notebook delivering the perfect balance of style and performance. Well equipped for on-the-go computing, the LIFEBOOK P3110 offers an expanded screen width but is light enough to carry all day. Further attractive features are its long battery life and energy-efficient LED backlight display, perfect for working outdoors.
The LIFEBOOK P3110 has an appealing design with a premium high-gloss, scratch-proof lacquer coating, available in black, ruby red and silver. Weighing in at just 1.6kg, the LIFEBOOK P3110 offers comfortable working. With its high resolution 16:9 aspect ratio screen measuring 29.5cm (11.6 inches), the display fits both the regular field of vision and the original DVD format. An expanded screen width provides more real estate for running multiple applications, tool bars, gadgets and instant messaging.
Constructed from environmentally-friendly components with an ultra-low-voltage Intel® processor, the LIFEBOOK P3110 continues Fujitsu’s long-standing commitment to green IT and meets the demands of environmentally-conscious users. The energy-efficient LED display maximizes battery life and efficiency, meeting ENERGY STAR® 5.0 requirements. Total battery life of approximately six hours maximizes convenience for travelers who may have limited access to power.
The LIFEBOOK P3110 is well connected, making it easy to get online anywhere, anytime, even at locations where wi-fi is unavailable. Integrated pre-n WLAN, Bluetooth and an optional embedded 3G/UMTS module ensure constant connectivity, while integrated Bluetooth wirelessly synchronizes data between the LIFEBOOK and handheld devices. Sound and vision is also built-in, with the integrated 1.3 megapixel webcam and array microphone making the notebook perfect for video conferencing and internet calls.
Rajat Kakar, Vice President Clients Group at Fujitsu Technology Solutions says: “The LIFEBOOK P3110 is the perfect traveling companion. Its stylish design, long battery life, energy efficiency and built-in connectivity make it a must-have notebook for users who want mobility at a good value. There’s something for everyone in Fujitsu’s portfolio; our LIFEBOOK P3110 shows that our notebooks can be as individual as our users.”
The LIFEBOOK P3110 (the ruby red edition, without 3G/UMTS), is available across EMEA as of November 9, 2009. Black and silver models, and 3G/UMTS options are available from November 23.
[via Netbooked]
Update the detailed information about Dimentica I Millennial, È Ora Di Guardare Alla Generazione C on the Moimoishop.com website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!