Tarkista, onko taulukossa kaksi elementtiä, joiden summa on yhtä suuri kuin taulukon loppuosan summa

Meillä on joukko kokonaislukuja ja meidän on löydettävä taulukosta kaksi sellaista elementtiä, että näiden kahden elementin summa on yhtä suuri kuin taulukon muiden elementtien summa. 

Esimerkkejä:  

Input : arr[] = {2 11 5 1 4 7} Output : Elements are 4 and 11 Note that 4 + 11 = 2 + 5 + 1 + 7 Input : arr[] = {2 4 2 1 11 15} Output : Elements do not exist  

A yksinkertainen ratkaisu on tarkastella jokaista paria yksitellen löytää sen summa ja verrata summaa muiden elementtien summaan. Jos löydämme parin, jonka summa on yhtä suuri kuin loput alkiot, tulostetaan pari ja palautetaan tosi. Tämän ratkaisun aikamonimutkaisuus on O(n 3 )

An tehokas ratkaisu on löytää taulukon kaikkien elementtien summa. Olkoon tämä summa "summa". Nyt tehtävä pelkistyy niin, että löydetään pari, jonka summa on yhtä suuri kuin summa/2. 

Toinen optimointi on, että pari voi olla olemassa vain, jos koko taulukon summa on parillinen, koska jaamme sen periaatteessa kahteen osaan yhtä suurella summalla.

  1. Etsi koko taulukon summa. Olkoon tämä summa "summa" 
  2. Jos summa on pariton, palauta epätosi. 
  3. Etsi pari, jonka summa on yhtä suuri kuin 'summa/2' käyttämällä käsiteltyä hajautusmenetelmää tässä kuten menetelmä 2. Jos pari löytyy, tulosta se ja palauta tosi. 
  4. Jos paria ei ole, palauta false.

Alla on yllä olevien vaiheiden toteutus.

C++
   // C++ program to find whether two elements exist   // whose sum is equal to sum of rest of the elements.   #include          using     namespace     std  ;   // Function to check whether two elements exist   // whose sum is equal to sum of rest of the elements.   bool     checkPair  (  int     arr  []     int     n  )   {      // Find sum of whole array      int     sum     =     0  ;      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )      sum     +=     arr  [  i  ];      // If sum of array is not even then we can not      // divide it into two part      if     (  sum     %     2     !=     0  )      return     false  ;      sum     =     sum     /     2  ;      // For each element arr[i] see if there is      // another element with value sum - arr[i]      unordered_set   <  int  >     s  ;      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )     {      int     val     =     sum     -     arr  [  i  ];      // If element exist than return the pair      if     (  s  .  find  (  val  )     !=     s  .  end  ())     {      printf  (  'Pair elements are %d and %d  n  '       arr  [  i  ]      val  );      return     true  ;      }      s  .  insert  (  arr  [  i  ]);      }      return     false  ;   }   // Driver program.   int     main  ()   {      int     arr  []     =     {     2       11       5       1       4       7     };      int     n     =     sizeof  (  arr  )     /     sizeof  (  arr  [  0  ]);      if     (  checkPair  (  arr       n  )     ==     false  )      printf  (  'No pair found'  );      return     0  ;   }   
Java
   // Java program to find whether two elements exist   // whose sum is equal to sum of rest of the elements.   import     java.util.*  ;   class   GFG     {      // Function to check whether two elements exist      // whose sum is equal to sum of rest of the elements.      static     boolean     checkPair  (  int     arr  []       int     n  )      {      // Find sum of whole array      int     sum     =     0  ;      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )     {      sum     +=     arr  [  i  ]  ;      }      // If sum of array is not even then we can not      // divide it into two part      if     (  sum     %     2     !=     0  )     {      return     false  ;      }      sum     =     sum     /     2  ;      // For each element arr[i] see if there is      // another element with value sum - arr[i]      HashSet   <  Integer  >     s     =     new     HashSet   <  Integer  >  ();      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )     {      int     val     =     sum     -     arr  [  i  ]  ;      // If element exist than return the pair      if     (  s  .  contains  (  val  )      &&     val     ==     (  int  )  s  .  toArray  ()  [  s  .  size  ()     -     1  ]  )     {      System  .  out  .  printf  (      'Pair elements are %d and %dn'       arr  [  i  ]        val  );      return     true  ;      }      s  .  add  (  arr  [  i  ]  );      }      return     false  ;      }      // Driver program.      public     static     void     main  (  String  []     args  )      {      int     arr  []     =     {     2       11       5       1       4       7     };      int     n     =     arr  .  length  ;      if     (  checkPair  (  arr       n  )     ==     false  )     {      System  .  out  .  printf  (  'No pair found'  );      }      }   }   /* This code contributed by PrinciRaj1992 */   
Python3
   # Python3 program to find whether    # two elements exist whose sum is   # equal to sum of rest of the elements.    # Function to check whether two    # elements exist whose sum is equal    # to sum of rest of the elements.    def   checkPair  (  arr     n  ):   s   =   set  ()   sum   =   0   # Find sum of whole array    for   i   in   range  (  n  ):   sum   +=   arr  [  i  ]   # / If sum of array is not    # even then we can not    # divide it into two part    if   sum   %   2   !=   0  :   return   False   sum   =   sum   /   2   # For each element arr[i] see if    # there is another element with    # value sum - arr[i]    for   i   in   range  (  n  ):   val   =   sum   -   arr  [  i  ]   if   arr  [  i  ]   not   in   s  :   s  .  add  (  arr  [  i  ])   # If element exist than    # return the pair    if   val   in   s  :   print  (  'Pair elements are'     arr  [  i  ]   'and'     int  (  val  ))   # Driver Code    arr   =   [  2     11     5     1     4     7  ]   n   =   len  (  arr  )   if   checkPair  (  arr     n  )   ==   False  :   print  (  'No pair found'  )   # This code is contributed    # by Shrikant13   
C#
   // C# program to find whether two elements exist   // whose sum is equal to sum of rest of the elements.   using     System  ;      using     System.Collections.Generic  ;      class     GFG      {          // Function to check whether two elements exist      // whose sum is equal to sum of rest of the elements.      static     bool     checkPair  (  int     []  arr       int     n  )      {      // Find sum of whole array      int     sum     =     0  ;      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )      {      sum     +=     arr  [  i  ];      }      // If sum of array is not even then we can not      // divide it into two part      if     (  sum     %     2     !=     0  )         {      return     false  ;      }      sum     =     sum     /     2  ;      // For each element arr[i] see if there is      // another element with value sum - arr[i]      HashSet   <  int  >     s     =     new     HashSet   <  int  >  ();      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )      {      int     val     =     sum     -     arr  [  i  ];      // If element exist than return the pair      if     (  s  .  Contains  (  val  ))      {      Console  .  Write  (  'Pair elements are {0} and {1}n'        arr  [  i  ]     val  );      return     true  ;      }      s  .  Add  (  arr  [  i  ]);      }      return     false  ;      }      // Driver code      public     static     void     Main  (  String  []     args  )      {      int     []  arr     =     {  2       11       5       1       4       7  };      int     n     =     arr  .  Length  ;      if     (  checkPair  (  arr       n  )     ==     false  )         {      Console  .  Write  (  'No pair found'  );      }      }   }   // This code contributed by Rajput-Ji   
PHP
      // PHP program to find whether two elements exist   // whose sum is equal to sum of rest of the elements.   // Function to check whether two elements exist   // whose sum is equal to sum of rest of the elements.   function   checkPair  (  &  $arr     $n  )   {   // Find sum of whole array   $sum   =   0  ;   for   (  $i   =   0  ;   $i    <   $n  ;   $i  ++  )   $sum   +=   $arr  [  $i  ];   // If sum of array is not even then we    // can not divide it into two part   if   (  $sum   %   2   !=   0  )   return   false  ;   $sum   =   $sum   /   2  ;   // For each element arr[i] see if there is   // another element with value sum - arr[i]   $s   =   array  ();   for   (  $i   =   0  ;   $i    <   $n  ;   $i  ++  )   {   $val   =   $sum   -   $arr  [  $i  ];   // If element exist than return the pair   if   (  array_search  (  $val     $s  ))   {   echo   'Pair elements are '   .   $arr  [  $i  ]   .   ' and '   .   $val   .   '  n  '  ;   return   true  ;   }   array_push  (  $s     $arr  [  $i  ]);   }   return   false  ;   }   // Driver Code   $arr   =   array  (  2     11     5     1     4     7  );   $n   =   sizeof  (  $arr  );   if   (  checkPair  (  $arr     $n  )   ==   false  )   echo   'No pair found'  ;   // This code is contributed by ita_c   ?>   
JavaScript
    <  script  >   // Javascript program to find    // whether two elements exist   // whose sum is equal to sum of rest   // of the elements.           // Function to check whether       // two elements exist      // whose sum is equal to sum of       // rest of the elements.      function     checkPair  (  arr    n  )      {      // Find sum of whole array      let     sum     =     0  ;      for     (  let     i     =     0  ;     i      <     n  ;     i  ++  )      {      sum     +=     arr  [  i  ];      }          // If sum of array is not even then we can not      // divide it into two part      if     (  sum     %     2     !=     0  )         {      return     false  ;      }          sum     =     Math  .  floor  (  sum     /     2  );          // For each element arr[i] see if there is      // another element with value sum - arr[i]      let     s     =     new     Set  ();      for     (  let     i     =     0  ;     i      <     n  ;     i  ++  )      {      let     val     =     sum     -     arr  [  i  ];          // If element exist than return the pair          if  (  !  s  .  has  (  arr  [  i  ]))      {      s  .  add  (  arr  [  i  ])      }          if     (  s  .  has  (  val  )     )         {      document  .  write  (  'Pair elements are '  +      arr  [  i  ]  +  ' and '  +     val  +  '  
'
); return true ; } s . add ( arr [ i ]); } return false ; } // Driver program. let arr = [ 2 11 5 1 4 7 ]; let n = arr . length ; if ( checkPair ( arr n ) == false ) { document . write ( 'No pair found' ); } // This code is contributed by rag2127 < /script>

Lähtö
Pair elements are 4 and 11 

Aika monimutkaisuus: O(n) . unordered_set toteutetaan hajautustekniikalla. Aikamonimutkaisuuden hash-haku ja lisäys oletetaan tässä muodossa O(1).
Aputila: O(n)

Toinen tehokas lähestymistapa (tilan optimointi): Ensin lajittelemme taulukon Binäärihaku . Sitten iteroidaan koko taulukko ja tarkistetaan, onko taulukossa indeksi, joka muodostaa parin i:n kanssa siten, että arr[index] + a[i] == Taulukon loppusumma . Voimme käyttää binaarihakua löytääksemme indeksin taulukosta muokkaamalla binaarihakuohjelmaa . Jos pari on olemassa, tulosta se. muuten tulosta paria ei ole olemassa.

Alla on yllä olevan lähestymistavan toteutus:

C++
   // C++ program for the above approach   #include       using     namespace     std  ;   // Function to Find if a index exist in array such that   // arr[index] + a[i] == Rest sum of the array   int     binarysearch  (  int     arr  []     int     n       int     i       int     Totalsum  )   {         int     l     =     0       r     =     n     -     1          index     =     -1  ;  //initialize as -1      while     (  l      <=     r  )         {     int     mid     =     (  l     +     r  )     /     2  ;          int     Pairsum     =     arr  [  mid  ]     +     arr  [  i  ];  //pair sum      int     Restsum     =     Totalsum     -     Pairsum  ;  //Rest sum          if     (     Pairsum     ==     Restsum     )      {      if  (     index     !=     i     )  // checking a pair has same position or not      {     index     =     mid  ;     }  //Then update index -1 to mid          // Checking for adjacent element      else     if  (  index     ==     i     &&     mid  >  0     &&     arr  [  mid  -1  ]  ==  arr  [  i  ])      {     index     =     mid  -1  ;     }  //Then update index -1 to mid-1          else     if  (  index     ==     i     &&     mid   <  n  -1     &&     arr  [  mid  +  1  ]  ==  arr  [  i  ])         {     index     =     mid  +  1  ;     }     //Then update index-1 to mid+1       break  ;         }      else     if     (  Pairsum     >     Restsum  )         {     // If pair sum is greater than rest sum  our index will      // be in the Range [mid+1R]      l     =     mid     +     1  ;      }      else     {      // If pair sum is smaller than rest sum  our index will      // be in the Range [Lmid-1]      r     =     mid     -     1  ;      }      }      // return index=-1 if a pair not exist with arr[i]      // else return index such that arr[i]+arr[index] == sum of rest of arr      return     index  ;   }   // Function to check if a pair exist such their sum    // equal to rest of the array or not    bool     checkPair  (  int     arr  []  int     n  )   {     int     Totalsum  =  0  ;      sort  (  arr          arr     +     n  );  //sort arr for Binary search          for  (  int     i  =  0  ;  i   <  n  ;  i  ++  )      {     Totalsum  +=  arr  [  i  ];     }     //Finding total sum of the arr          for  (  int     i  =  0  ;  i   <  n  ;  i  ++  )      {     // If index is -1  Means arr[i] can't pair with any element       // else arr[i]+a[index] == sum of rest of the arr      int     index     =     binarysearch  (  arr       n       i    Totalsum  )     ;          if  (  index     !=     -1  )     {         cout   < <  'Pair elements are '   < <     arr  [  i  ]   < <  ' and '   < <     arr  [  index  ];      return     true  ;      }      }      return     false  ;  //Return false if a pair not exist   }   // Driver Code   int     main  ()   {      int     arr  []     =     {  2       11       5       1       4       7  };      int     n     =     sizeof  (  arr  )  /  sizeof  (  arr  [  0  ]);          //Function call      if     (  checkPair  (  arr       n  )     ==     false  )      {     cout   < <  'No pair found'  ;     }      return     0  ;   }   // This Approach is contributed by nikhilsainiofficial546    
Java
   // Java program for the above approach   import     java.util.*  ;   class   GFG     {      // Function to Find if a index exist in array such that      // arr[index] + a[i] == Rest sum of the array      static     int     binarysearch  (  int     arr  []       int     n       int     i        int     Totalsum  )      {      int     l     =     0       r     =     n     -     1       index     =     -  1  ;     // initialize as -1      while     (  l      <=     r  )     {      int     mid     =     (  l     +     r  )     /     2  ;      int     Pairsum     =     arr  [  mid  ]     +     arr  [  i  ]  ;     // pair sum      int     Restsum     =     Totalsum     -     Pairsum  ;     // Rest sum      if     (  Pairsum     ==     Restsum  )     {      if     (  index     !=     i  )     // checking a pair has same      // position or not      {      index     =     mid  ;      }     // Then update index -1 to mid      // Checking for adjacent element      else     if     (  index     ==     i     &&     mid     >     0      &&     arr  [  mid     -     1  ]     ==     arr  [  i  ]  )     {      index     =     mid     -     1  ;      }     // Then update index -1 to mid-1      else     if     (  index     ==     i     &&     mid      <     n     -     1      &&     arr  [  mid     +     1  ]     ==     arr  [  i  ]  )     {      index     =     mid     +     1  ;      }     // Then update index-1 to mid+1      break  ;      }      else     if     (  Pairsum     >     Restsum  )     {      // If pair sum is greater than rest sum       // our index will be in the Range [mid+1R]      l     =     mid     +     1  ;      }      else     {      // If pair sum is smaller than rest sum       // our index will be in the Range [Lmid-1]      r     =     mid     -     1  ;      }      }      // return index=-1 if a pair not exist with arr[i]      // else return index such that arr[i]+arr[index] ==      // sum of rest of arr      return     index  ;      }      // Function to check if a pair exist such their sum      // equal to rest of the array or not      static     boolean     checkPair  (  int     arr  []       int     n  )      {      int     Totalsum     =     0  ;      Arrays  .  sort  (  arr  );     // sort arr for Binary search      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )     {      Totalsum     +=     arr  [  i  ]  ;      }     // Finding total sum of the arr      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )     {      // If index is -1  Means arr[i] can't pair with      // any element else arr[i]+a[index] == sum of      // rest of the arr      int     index     =     binarysearch  (  arr       n       i       Totalsum  );      if     (  index     !=     -  1  )     {      System  .  out  .  println  (  'Pair elements are '      +     arr  [  i  ]     +     ' and '      +     arr  [  index  ]  );      return     true  ;      }      }      return     false  ;     // Return false if a pair not exist      }      // Driver Code      public     static     void     main  (  String  []     args  )      {      int     arr  []     =     {     2       11       5       1       4       7     };      int     n     =     arr  .  length  ;      // Function call      if     (  checkPair  (  arr       n  )     ==     false  )     {      System  .  out  .  println  (  'No pair found'  );      }      }   }   
Python3
   # Python program for the above approach   # Function to find if a index exist in array such that   # arr[index] + a[i] == Rest sum of the array   def   binarysearch  (  arr     n     i     Totalsum  ):   l   =   0   r   =   n   -   1   index   =   -  1   # Initialize as -1   while   l    <=   r  :   mid   =   (  l   +   r  )   //   2   Pairsum   =   arr  [  mid  ]   +   arr  [  i  ]   # Pair sum   Restsum   =   Totalsum   -   Pairsum   # Rest sum   if   Pairsum   ==   Restsum  :   if   index   !=   i  :   # Checking if a pair has the same position or not   index   =   mid   # Then update index -1 to mid   # Checking for adjacent element   elif   index   ==   i   and   mid   >   0   and   arr  [  mid   -   1  ]   ==   arr  [  i  ]:   index   =   mid   -   1   # Then update index -1 to mid-1   elif   index   ==   i   and   mid    <   n   -   1   and   arr  [  mid   +   1  ]   ==   arr  [  i  ]:   index   =   mid   +   1   # Then update index-1 to mid+1   break   elif   Pairsum   >   Restsum  :   # If pair sum is greater than rest sum our index will   # be in the Range [mid+1R]   l   =   mid   +   1   else  :   # If pair sum is smaller than rest sum our index will   # be in the Range [Lmid-1]   r   =   mid   -   1   # Return index=-1 if a pair not exist with arr[i]   # else return index such that arr[i]+arr[index] == sum of rest of arr   return   index   # Function to check if a pair exists such that their sum   # equals to rest of the array or not   def   checkPair  (  arr     n  ):   Totalsum   =   0   arr   =   sorted  (  arr  )   # Sort arr for Binary search   for   i   in   range  (  n  ):   Totalsum   +=   arr  [  i  ]   # Finding total sum of the arr   for   i   in   range  (  n  ):   # If index is -1 means arr[i] can't pair with any element   # else arr[i]+a[index] == sum of rest of the arr   index   =   binarysearch  (  arr     n     i     Totalsum  )   if   index   !=   -  1  :   print  (  'Pair elements are'     arr  [  i  ]   'and'     arr  [  index  ])   return   True   return   False   # Return false if a pair not exist   # Driver Code   arr   =   [  2     11     5     1     4     7  ]   n   =   len  (  arr  )   # Function call   if   checkPair  (  arr     n  )   ==   False  :   print  (  'No pair found'  )   
C#
   using     System  ;   class     GFG   {      // Function to Find if a index exist in array such that      // arr[index] + a[i] == Rest sum of the array      static     int     BinarySearch  (  int  []     arr       int     n       int     i       int     totalSum  )      {      int     l     =     0       r     =     n     -     1       index     =     -  1  ;     // initialize as -1      while     (  l      <=     r  )      {      int     mid     =     (  l     +     r  )     /     2  ;      int     pairSum     =     arr  [  mid  ]     +     arr  [  i  ];     // pair sum      int     restSum     =     totalSum     -     pairSum  ;     // rest sum      if     (  pairSum     ==     restSum  )      {      if     (  index     !=     i  )     // checking a pair has same      // position or not      {      index     =     mid  ;      }     // Then update index -1 to mid      // Checking for adjacent element      else     if     (  index     ==     i     &&     mid     >     0      &&     arr  [  mid     -     1  ]     ==     arr  [  i  ])      {      index     =     mid     -     1  ;      }     // Then update index -1 to mid-1      else     if     (  index     ==     i     &&     mid      <     n     -     1      &&     arr  [  mid     +     1  ]     ==     arr  [  i  ])      {      index     =     mid     +     1  ;      }     // Then update index-1 to mid+1      break  ;      }      else     if     (  pairSum     >     restSum  )      {      // If pair sum is greater than rest sum       // our index will be in the Range [mid+1R]      l     =     mid     +     1  ;      }      else      {      // If pair sum is smaller than rest sum       // our index will be in the Range [Lmid-1]      r     =     mid     -     1  ;      }      }      // return index=-1 if a pair not exist with arr[i]      // else return index such that arr[i]+arr[index] ==      // sum of rest of arr      return     index  ;      }      // Function to check if a pair exist such their sum      // equal to rest of the array or not      static     bool     CheckPair  (  int  []     arr       int     n  )      {      int     totalSum     =     0  ;      Array  .  Sort  (  arr  );     // sort arr for Binary search      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )      {      totalSum     +=     arr  [  i  ];      }     // Finding total sum of the arr      for     (  int     i     =     0  ;     i      <     n  ;     i  ++  )      {      // If index is -1  Means arr[i] can't pair with      // any element else arr[i]+a[index] == sum of      // rest of the arr      int     index     =     BinarySearch  (  arr       n       i       totalSum  );      if     (  index     !=     -  1  )      {      Console  .  WriteLine  (  'Pair elements are '     +     arr  [  i  ]     +     ' and '     +     arr  [  index  ]);      return     true  ;      }      }      return     false  ;     // Return false if a pair not exist      }      // Driver Code      static     void     Main  (  string  []     args  )      {      int  []     arr     =     {     2       11       5       1       4       7     };      int     n     =     arr  .  Length  ;      // Function call      if     (  !  CheckPair  (  arr       n  ))      {      Console  .  WriteLine  (  'No pair found'  );      }      }   }   
JavaScript
   // JavaScript program for the above approach   // function to find if a index exist in array such that   // arr[index] + a[i] == Rest sum of the array   function     binarysearch  (  arr       n       i       TotalSum  ){      let     l     =     0  ;      let     r     =     n  -  1  ;      let     index     =     -  1  ;          while  (  l      <=     r  ){      let     mid     =     parseInt  ((  l  +  r  )  /  2  );      let     Pairsum     =     arr  [  mid  ]     +     arr  [  i  ];      let     Restsum     =     TotalSum     -     Pairsum  ;          if     (     Pairsum     ==     Restsum     )      {      if  (     index     !=     i     )  // checking a pair has same position or not      {     index     =     mid  ;     }  //Then update index -1 to mid          // Checking for adjacent element      else     if  (  index     ==     i     &&     mid  >  0     &&     arr  [  mid  -  1  ]  ==  arr  [  i  ])      {     index     =     mid  -  1  ;     }  //Then update index -1 to mid-1          else     if  (  index     ==     i     &&     mid   <  n  -  1     &&     arr  [  mid  +  1  ]  ==  arr  [  i  ])      {     index     =     mid  +  1  ;     }     //Then update index-1 to mid+1       break  ;      }      else     if     (  Pairsum     >     Restsum  )      {     // If pair sum is greater than rest sum  our index will      // be in the Range [mid+1R]      l     =     mid     +     1  ;      }      else     {      // If pair sum is smaller than rest sum  our index will      // be in the Range [Lmid-1]      r     =     mid     -     1  ;      }      }      // return index=-1 if a pair not exist with arr[i]      // else return index such that arr[i]+arr[index] == sum of rest of arr      return     index  ;   }   // Function to check if a pair exist such their sum   // equal to rest of the array or not   function     checkPair  (  arr       n  ){      let     Totalsum     =     0  ;      arr  .  sort  (  function  (  a       b  ){  return     a     -     b  });          for  (  let     i  =  0  ;  i   <  n  ;  i  ++  )      {     Totalsum  +=  arr  [  i  ];     }     //Finding total sum of the arr          for  (  let     i  =  0  ;  i   <  n  ;  i  ++  )      {     // If index is -1  Means arr[i] can't pair with any element      // else arr[i]+a[index] == sum of rest of the arr      let     index     =     binarysearch  (  arr       n       i    Totalsum  )     ;          if  (  index     !=     -  1  )     {      console  .  log  (  'Pair elements are '     +     arr  [  i  ]     +     ' and '     +     arr  [  index  ]);      return     true  ;      }      }      return     false  ;  //Return false if a pair not exist   }   // driver code to test above function   let     arr     =     [  2       11       5       1       4       7  ];   let     n     =     arr  .  length  ;   // function call   if  (  checkPair  (  arr       n  )     ==     false  )         console  .  log  (  'No Pair Found'  )          // THIS CODE IS CONTRIBUTED BY YASH AGARWAL(YASHAGARWAL2852002)   

Lähtö
Pair elements are 11 and 4 

Aika monimutkaisuus: O(n * kirjautuminen) 
Aputila: O(1)

 

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