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Tjek om aritmetisk progression kan dannes ud fra det givne array

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Givet en række af n heltal. Opgaven er at tjekke, om der kan dannes en aritmetisk progression ved hjælp af alle de givne elementer. Hvis det er muligt, udskriv 'Ja' ellers 'Nej'.

Eksempler:  

Input: arr[] = {0 12 4 8}
Output: Ja
Omarranger givet array som {0 4 8 12}, som danner en aritmetisk progression.

Input: arr[] = {12 40 11 20}
Output: Ingen



installering af brænder

Brug af sortering - O(n log n) tid

Ideen er at sortere det givne array. Efter sortering skal du kontrollere, om forskellene mellem på hinanden følgende elementer er ens eller ej. Hvis alle forskelle er ens, er aritmetisk progression mulig. Henvis venligst - Program til at kontrollere aritmetisk progression til implementering af denne tilgang.

Brug af tællesortering - O(n) Tid og O(n) Mellemrum

Vi kan reducere den nødvendige plads i metode 3, hvis et givet array kan ændres. 

  1. Find mindste og næstmindste elementer.
  2. Find d = næstmindst - mindste
  3. Træk det mindste element fra alle elementer.
  4. Hvis givet array nu repræsenterer AP, skal alle elementer have formen i*d, hvor i varierer fra 0 til n-1.
  5. En efter en opdel alle reducerede elementer med d. Hvis et element ikke er deleligt med d returneres falsk.
  6. Hvis array nu repræsenterer AP, skal det være en permutation af tal fra 0 til n-1. Vi kan nemt kontrollere dette ved at bruge tællesort.

Nedenfor er implementeringen af ​​denne metode:

C++
// C++ program to check if a given array // can form arithmetic progression #include    using namespace std; // Checking if array is permutation  // of 0 to n-1 using counting sort bool countingsort(int arr[] int n) {  int count[n] = { 0 };    // Counting the frequency  for (int i = 0; i < n; i++) {  count[arr[i]]++;  }    // Check if each frequency is 1 only  for (int i = 0; i <= n-1; i++) {  if (count[i] != 1)  return false;  }    return true; } // Returns true if a permutation of arr[0..n-1] // can form arithmetic progression bool checkIsAP(int arr[] int n) {  int smallest = INT_MAX second_smallest = INT_MAX;  for (int i = 0; i < n; i++) {    // Find the smallest and   // update second smallest  if (arr[i] < smallest) {  second_smallest = smallest;  smallest = arr[i];  }    // Find second smallest  else if (arr[i] != smallest  && arr[i] < second_smallest)  second_smallest = arr[i];  }  // Find the difference between smallest and second  // smallest  int diff = second_smallest - smallest;  for (int i = 0; i < n; i++) {  arr[i]=arr[i]-smallest;  }    for(int i=0;i<n;i++)  {  if(arr[i]%diff!=0)  {  return false;  }  else  {  arr[i]=arr[i]/diff;  }  }    // If array represents AP it must be a   // permutation of numbers from 0 to n-1.  // Check this using counting sort.  if(countingsort(arrn))  return true;  else  return false; } // Driven Program int main() {  int arr[] = { 20 15 5 0 10 };  int n = sizeof(arr) / sizeof(arr[0]);  (checkIsAP(arr n)) ? (cout << 'Yes' << endl)  : (cout << 'No' << endl);  return 0;  // This code is contributed by Pushpesh Raj } 
Java
// Java program to check if a given array // can form arithmetic progression import java.io.*; class GFG {  // Checking if array is permutation  // of 0 to n-1 using counting sort  static boolean countingsort(int arr[] int n)  {  int[] count = new int[n];  for(int i = 0; i < n; i++)  count[i] = 0;  // Counting the frequency  for (int i = 0; i < n; i++) {  count[arr[i]]++;  }  // Check if each frequency is 1 only  for (int i = 0; i <= n-1; i++) {  if (count[i] != 1)  return false;  }  return true;  }  // Returns true if a permutation of arr[0..n-1]  // can form arithmetic progression  static boolean checkIsAP(int arr[] int n)  {  int smallest = Integer.MAX_VALUE second_smallest = Integer.MAX_VALUE ;  for (int i = 0; i < n; i++) {  // Find the smallest and  // update second smallest  if (arr[i] < smallest) {  second_smallest = smallest;  smallest = arr[i];  }  // Find second smallest  else if (arr[i] != smallest  && arr[i] < second_smallest)  second_smallest = arr[i];  }  // Find the difference between smallest and second  // smallest  int diff = second_smallest - smallest;  for (int i = 0; i < n; i++) {  arr[i] = arr[i] - smallest;  }  for(int i = 0; i < n; i++)  {  if(arr[i] % diff != 0)  {  return false;  }  else  {  arr[i] = arr[i]/diff;  }  }  // If array represents AP it must be a  // permutation of numbers from 0 to n-1.  // Check this using counting sort.  if(countingsort(arrn))  return true;  else  return false;  }  // Driven Program  public static void main (String[] args)  {  int arr[] = { 20 15 5 0 10 };  int n = arr.length;  if(checkIsAP(arr n))   System.out.println('Yes');  else System.out.println('No');  } } // This code is contributed by Utkarsh 
Python
# Python program to check if a given array # can form arithmetic progression import sys # Checking if array is permutation  # of 0 to n-1 using counting sort def countingsort( arr n): count = [0]*n; # Counting the frequency for i in range(0 n): count[arr[i]] += 1; # Check if each frequency is 1 only for i in range(0 n - 1): if (count[i] != 1): return False; return True; # Returns true if a permutation of arr[0..n-1] # can form arithmetic progression def checkIsAP( arr n): smallest = sys.maxsize; second_smallest = sys.maxsize; for i in range(0n): # Find the smallest and  # update second smallest if (arr[i] < smallest) : second_smallest = smallest; smallest = arr[i]; # Find second smallest elif (arr[i] != smallest and arr[i] < second_smallest): second_smallest = arr[i]; # Find the difference between smallest and second # smallest diff = second_smallest - smallest; for i in range(0n): arr[i]=arr[i]-smallest; for i in range(0n): if(arr[i]%diff!=0): return False; else: arr[i]=(int)(arr[i]/diff); # If array represents AP it must be a  # permutation of numbers from 0 to n-1. # Check this using counting sort. if(countingsort(arrn)): return True; else: return False; # Driven Program arr = [ 20 15 5 0 10 ]; n = len(arr); if(checkIsAP(arr n)): print('Yes'); else: print('NO'); # This code is contributed by ratiagrawal. 
C#
using System;  class GFG  {  // Checking if array is permutation  // of 0 to n-1 using counting sort  static bool CountingSort(int[] arr int n)  {  // Counting the frequency  int[] count = new int[n];  for (int i = 0; i < n; i++)  {  count[arr[i]]++;  }  // Check if each frequency is 1 only  for (int i = 0; i <= n - 1; i++)  {  if (count[i] != 1)  {  return false;  }  }  return true;  }// Returns true if a permutation of arr[0..n-1]  // can form arithmetic progression  static bool CheckIsAP(int[] arr int n)  {// Find the smallest and  // update second smallest  int smallest = int.MaxValue;  int secondSmallest = int.MaxValue;  for (int i = 0; i < n; i++)  {  if (arr[i] < smallest)  {  secondSmallest = smallest;  smallest = arr[i];  }  else if (arr[i] != smallest && arr[i] < secondSmallest)  {  secondSmallest = arr[i];  }  }  int diff = secondSmallest - smallest;  for (int i = 0; i < n; i++)  {  arr[i] = arr[i] - smallest;  }  for (int i = 0; i < n; i++)  {  if (arr[i] % diff != 0)  {  return false;  }  else  {  arr[i] = arr[i] / diff;  }  } // If array represents AP it must be a  // permutation of numbers from 0 to n-1.  // Check this using counting sort.  if (CountingSort(arr n))  {  return true;  }  else  {  return false;  }  } // Driven Program  static void Main(string[] args)  {  int[] arr = new int[] { 20 15 5 0 10 };  int n = arr.Length;  Console.WriteLine(CheckIsAP(arr n) ? 'Yes' : 'No');  }  } 
JavaScript
// Javascript program to check if a given array // can form arithmetic progression // Checking if array is permutation  // of 0 to n-1 using counting sort function countingsort( arr n) {  let count=new Array(n).fill(0);    // Counting the frequency  for (let i = 0; i < n; i++) {  count[arr[i]]++;  }    // Check if each frequency is 1 only  for (let i = 0; i <= n-1; i++) {  if (count[i] != 1)  return false;  }    return true; } // Returns true if a permutation of arr[0..n-1] // can form arithmetic progression function checkIsAP( arr n) {  let smallest = Number.MAX_SAFE_INTEGER second_smallest = Number.MAX_SAFE_INTEGER;  for (let i = 0; i < n; i++) {    // Find the smallest and   // update second smallest  if (arr[i] < smallest) {  second_smallest = smallest;  smallest = arr[i];  }    // Find second smallest  else if (arr[i] != smallest  && arr[i] < second_smallest)  second_smallest = arr[i];  }  // Find the difference between smallest and second  // smallest  let diff = second_smallest - smallest;  for (let i = 0; i < n; i++) {  arr[i]=arr[i]-smallest;  }    for(let i=0;i<n;i++)  {  if(arr[i]%diff!=0)  {  return false;  }  else  {  arr[i]=arr[i]/diff;  }  }    // If array represents AP it must be a   // permutation of numbers from 0 to n-1.  // Check this using counting sort.  if(countingsort(arrn))  return true;  else  return false; } // Driven Program let arr = [20 15 5 0 10 ]; let n = arr.length; (checkIsAP(arr n)) ? (console.log('Yesn'))  : (console.log('Non'));    // // This code was contributed by poojaagrawal2. 

Produktion
Yes

Tidskompleksitet - O(n) 
Hjælpeplads - O(n)

hvad er dvale

Hashing med Single Pass - O(n) Tid og O(n) Mellemrum

Den grundlæggende idé er at finde den fælles forskel på AP ved at finde ud af det maksimale og det mindste element i arrayet. Start derefter fra den maksimale værdi og fortsæt med at mindske værdien med den fælles forskel sammen med at kontrollere, om denne nye værdi er til stede i hashmap'et eller ej. Hvis værdien på noget tidspunkt ikke er til stede i hashsettet, bryd løkken . Den ideelle situation efter loop breaking er, at alle n elementer er blevet dækket, og hvis ja, så returner true ellers return false. 

C++
// C++ program for above approach #include    using namespace std; bool checkIsAP(int arr[] int n) {  unordered_set<int> st;  int maxi = INT_MIN;  int mini = INT_MAX;  for (int i=0;i<n;i++) {  maxi = max(arr[i] maxi);  mini = min(arr[i] mini);  st.insert(arr[i]);  }    // FINDING THE COMMON DIFFERENCE  int diff = (maxi - mini) / (n - 1);  int count = 0;  // CHECK TERMS OF AP PRESENT IN THE HASHSET  while (st.find(maxi)!=st.end()) {  count++;  maxi = maxi - diff;  }    if (count == n)  return true;  return false; } // Driver Code int main() {  int arr[] = { 0 12 4 8 };  int n = 4;  cout << boolalpha << checkIsAP(arr n);  return 0; } // This code is contributed by Rohit Pradhan 
Java
/*package whatever //do not write package name here */ import java.io.*; import java.util.*; class GFG {  public static void main(String[] args)  {  int[] arr = { 0 12 4 8 };  int n = arr.length;  System.out.println(checkIsAP(arr n));  }  static boolean checkIsAP(int arr[] int n)  {  HashSet<Integer> set = new HashSet<Integer>();  int max = Integer.MIN_VALUE;  int min = Integer.MAX_VALUE;  for (int i : arr) {  max = Math.max(i max);  min = Math.min(i min);  set.add(i);  }    // FINDING THE COMMON DIFFERENCE  int diff = (max - min) / (n - 1);  int count = 0;  // CHECK IF TERMS OF AP PRESENT IN THE HASHSET   while (set.contains(max)) {  count++;  max = max - diff;  }  if (count == arr.length)  return true;  return false;  } } 
Python
import sys def checkIsAP(arr n): Set = set() Max = -sys.maxsize - 1 Min = sys.maxsize for i in arr: Max = max(i Max) Min = min(i Min) Set.add(i) # FINDING THE COMMON DIFFERENCE diff = (Max - Min) // (n - 1) count = 0 # CHECK IF TERMS OF AP PRESENT IN THE HASHSET  while (Max in Set): count += 1 Max = Max - diff if (count == len(arr)): return True return False # driver code arr = [ 0 12 4 8 ] n = len(arr) print(checkIsAP(arr n)) # This code is contributed by shinjanpatra 
C#
using System; using System.Collections.Generic; public class GFG  {  // C# program for above approach  static bool checkIsAP(int[] arr int n)  {  HashSet<int> st = new HashSet<int>();  int maxi = int.MinValue;  int mini = int.MaxValue;  for (int i = 0; i < n; i++) {  maxi = Math.Max(arr[i] maxi);  mini = Math.Min(arr[i] mini);  st.Add(arr[i]);  }    // FINDING THE COMMON DIFFERENCE  int diff = (maxi - mini) / (n - 1);  int count = 0;  // CHECK IF TERMS OF AP PRESENT IN THE HASHSET   while (st.Contains(maxi)) {  count++;  maxi = maxi - diff;  }  if (count == n) {  return true;  }  return false;  }  // Driver Code  internal static void Main()  {  int[] arr = { 0 12 4 8 };  int n = 4;  Console.Write(checkIsAP(arr n));  }  // This code is contributed by Aarti_Rathi } 
JavaScript
function checkIsAP(arr n){  set = new Set()  let Max = Number.MIN_VALUE  let Min = Number.MAX_VALUE  for(let i of arr){  Max = Math.max(i Max)  Min = Math.min(i Min)  set.add(i)  }    // FINDING THE COMMON DIFFERENCE  let diff = Math.floor((Max - Min) / (n - 1))  let count = 0  // CHECK IF TERMS OF AP PRESENT IN THE HASHSET   while (set.has(Max)){  count += 1  Max = Max - diff  }  if (count == arr.length)  return true  return false } // driver code let arr = [ 0 12 4 8 ] let n = arr.length console.log(checkIsAP(arr n)) 

Produktion
true
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