Matricas reizināšana | Rekursīvs

Dotas divas matricas A un B. Uzdevums ir rekursīvi reizināt matricu A un matricu B. Ja matrica A un matrica B nav saderīgas ar reizināšanu, ģenerējiet izvadi “Nav iespējams”.

Piemēri:  

 Input: A = 12 56   
45 78
B = 2 6
5 8
Output: 304 520
480 894
Input: A = 1 2 3
4 5 6
7 8 9
B = 1 2 3
4 5 6
7 8 9
Output: 30 36 42
66 81 96
102 126 150

Vispirms ir ieteicams atsaukties Iteratīvā matricas reizināšana .

Vispirms pārbaudiet, vai ir iespējama reizināšana starp matricām. Šim nolūkam pārbaudiet, vai pirmās matricas kolonnu skaits ir vienāds ar otrās matricas rindu skaitu. Ja abi ir vienādi, turpiniet, pretējā gadījumā ģenerējiet izvadi “Nav iespējams”.

Rekursīvajā matricas reizināšanā mēs īstenojam trīs iterācijas cilpas, izmantojot rekursīvos zvanus. Iekšējais rekursīvākais zvans reizinātMatrix() ir iterēt k (col1 vai row2). Otrais rekursīvais zvans no reizinātMatrix() ir mainīt kolonnas, un attālākais rekursīvais aicinājums ir mainīt rindas.

Zemāk ir rekursīvās matricas reizināšanas kods. 

C++
   // Recursive code for Matrix Multiplication   #include         const     int     MAX     =     100  ;   void     multiplyMatrixRec  (  int     row1       int     col1       int     A  [][  MAX  ]      int     row2       int     col2       int     B  [][  MAX  ]      int     C  [][  MAX  ])   {      // Note that below variables are static      // i and j are used to know current cell of      // result matrix C[][]. k is used to know      // current column number of A[][] and row      // number of B[][] to be multiplied      static     int     i     =     0       j     =     0       k     =     0  ;      // If all rows traversed.      if     (  i     >=     row1  )      return  ;      // If i  < row1      if     (  j      <     col2  )     {      if     (  k      <     col1  )     {      C  [  i  ][  j  ]     +=     A  [  i  ][  k  ]     *     B  [  k  ][  j  ];      k  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B        C  );      }      k     =     0  ;      j  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }      j     =     0  ;      i  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );   }   // Function to multiply two matrices A[][] and B[][]   void     multiplyMatrix  (  int     row1       int     col1       int     A  [][  MAX  ]      int     row2       int     col2       int     B  [][  MAX  ])   {      if     (  row2     !=     col1  )     {      printf  (  'Not Possible  n  '  );      return  ;      }      int     C  [  MAX  ][  MAX  ]     =     {     0     };      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      // Print the result      for     (  int     i     =     0  ;     i      <     row1  ;     i  ++  )     {      for     (  int     j     =     0  ;     j      <     col2  ;     j  ++  )      printf  (  '%d '       C  [  i  ][  j  ]);      printf  (  '  n  '  );      }   }   // Driven Program   int     main  ()   {      int     A  [][  MAX  ]      =     {     {     1       2       3     }     {     4       5       6     }     {     7       8       9     }     };      int     B  [][  MAX  ]      =     {     {     1       2       3     }     {     4       5       6     }     {     7       8       9     }     };      int     row1     =     3       col1     =     3       row2     =     3       col2     =     3  ;      multiplyMatrix  (  row1       col1       A       row2       col2       B  );      return     0  ;   }   // This code is contributed by Aarti_Rathi   
Java
   // Java recursive code for Matrix Multiplication   class   GFG      {      public     static     int     MAX     =     100  ;          // Note that below variables are static      // i and j are used to know current cell of      // result matrix C[][]. k is used to know      // current column number of A[][] and row      // number of B[][] to be multiplied      public     static     int     i     =     0       j     =     0       k     =     0  ;          static     void     multiplyMatrixRec  (  int     row1       int     col1       int     A  [][]        int     row2       int     col2       int     B  [][]        int     C  [][]  )      {      // If all rows traversed      if     (  i     >=     row1  )      return  ;          // If i  < row1      if     (  j      <     col2  )      {      if     (  k      <     col1  )      {      C  [  i  ][  j  ]     +=     A  [  i  ][  k  ]     *     B  [  k  ][  j  ]  ;      k  ++  ;          multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }          k     =     0  ;      j  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }          j     =     0  ;      i  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }          // Function to multiply two matrices A[][] and B[][]      static     void     multiplyMatrix  (  int     row1       int     col1       int     A  [][]        int     row2       int     col2       int     B  [][]  )      {      if     (  row2     !=     col1  )      {      System  .  out  .  println  (  'Not Possiblen'  );      return  ;      }          int  [][]     C     =     new     int  [  MAX  ][  MAX  ]  ;          multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );          // Print the result      for     (  int     i     =     0  ;     i      <     row1  ;     i  ++  )      {      for     (  int     j     =     0  ;     j      <     col2  ;     j  ++  )      System  .  out  .  print  (  C  [  i  ][  j  ]+  ' '  );          System  .  out  .  println  ();      }      }          // driver program      public     static     void     main     (  String  []     args  )         {      int     row1     =     3       col1     =     3       row2     =     3       col2     =     3  ;      int     A  [][]     =     {     {  1       2       3  }      {  4       5       6  }      {  7       8       9  }};          int     B  [][]     =     {     {  1       2       3  }      {  4       5       6  }      {  7       8       9  }     };          multiplyMatrix  (  row1       col1       A       row2       col2       B  );      }   }   // Contributed by Pramod Kumar   
Python3
   # Recursive code for Matrix Multiplication    MAX   =   100   i   =   0   j   =   0   k   =   0   def   multiplyMatrixRec  (  row1     col1     A     row2     col2     B     C  ):   # Note that below variables are static    # i and j are used to know current cell of    # result matrix C[][]. k is used to know    # current column number of A[][] and row    # number of B[][] to be multiplied    global   i   global   j   global   k   # If all rows traversed.    if   (  i   >=   row1  ):   return   # If i  < row1    if   (  j    <   col2  ):   if   (  k    <   col1  ):   C  [  i  ][  j  ]   +=   A  [  i  ][  k  ]   *   B  [  k  ][  j  ]   k   +=   1   multiplyMatrixRec  (  row1     col1     A     row2     col2    B     C  )   k   =   0   j   +=   1   multiplyMatrixRec  (  row1     col1     A     row2     col2     B     C  )   j   =   0   i   +=   1   multiplyMatrixRec  (  row1     col1     A     row2     col2     B     C  )   # Function to multiply two matrices    # A[][] and B[][]    def   multiplyMatrix  (  row1     col1     A     row2     col2     B  ):   if   (  row2   !=   col1  ):   print  (  'Not Possible'  )   return   C   =   [[  0   for   i   in   range  (  MAX  )]   for   i   in   range  (  MAX  )]   multiplyMatrixRec  (  row1     col1     A     row2     col2     B     C  )   # Print the result    for   i   in   range  (  row1  ):   for   j   in   range  (  col2  ):   print  (   C  [  i  ][  j  ]   end   =   ' '  )   print  ()   # Driver Code   A   =   [[  1     2     3  ]   [  4     5     6  ]   [  7     8     9  ]]   B   =   [[  1     2     3  ]   [  4     5     6  ]   [  7     8     9  ]]   row1   =   3   col1   =   3   row2   =   3   col2   =   3   multiplyMatrix  (  row1     col1     A     row2     col2     B  )   # This code is contributed by sahilshelangia   
C#
   // C# recursive code for    // Matrix Multiplication   using     System  ;   class     GFG   {      public     static     int     MAX     =     100  ;          // Note that below variables      // are static i and j are used       // to know current cell of result       // matrix C[][]. k is used to      // know current column number of       // A[][] and row number of B[][]      // to be multiplied      public     static     int     i     =     0       j     =     0       k     =     0  ;          static     void     multiplyMatrixRec  (  int     row1       int     col1           int     []  A       int     row2           int     col2       int     []  B        int     []  C  )      {      // If all rows traversed      if     (  i     >=     row1  )      return  ;      // If i  < row1      if     (  j      <     col2  )      {      if     (  k      <     col1  )      {      C  [  i       j  ]     +=     A  [  i       k  ]     *     B  [  k       j  ];      k  ++  ;      multiplyMatrixRec  (  row1       col1       A           row2       col2       B       C  );      }      k     =     0  ;      j  ++  ;      multiplyMatrixRec  (  row1       col1       A           row2       col2       B       C  );      }      j     =     0  ;      i  ++  ;      multiplyMatrixRec  (  row1       col1       A           row2       col2       B       C  );      }      // Function to multiply two      // matrices A[][] and B[][]      static     void     multiplyMatrix  (  int     row1       int     col1           int     []  A       int     row2           int     col2       int     []  B  )      {      if     (  row2     !=     col1  )      {      Console  .  WriteLine  (  'Not Possiblen'  );      return  ;      }      int  []  C     =     new     int  [  MAX       MAX  ];      multiplyMatrixRec  (  row1       col1       A           row2       col2       B       C  );      // Print the result      for     (  int     i     =     0  ;     i      <     row1  ;     i  ++  )      {      for     (  int     j     =     0  ;     j      <     col2  ;     j  ++  )      Console  .  Write  (  C  [  i       j  ]     +     ' '  );      Console  .  WriteLine  ();      }      }          // Driver Code      static     public     void     Main     ()      {      int     row1     =     3       col1     =     3           row2     =     3       col2     =     3  ;      int     []  A     =     {{  1       2       3  }      {  4       5       6  }      {  7       8       9  }};      int     []  B     =     {{  1       2       3  }      {  4       5       6  }      {  7       8       9  }};      multiplyMatrix  (  row1       col1       A           row2       col2       B  );      }   }   // This code is contributed by m_kit   
JavaScript
    <  script  >      // Javascript recursive code for Matrix Multiplication          let     MAX     =     100  ;          // Note that below variables are static      // i and j are used to know current cell of      // result matrix C[][]. k is used to know      // current column number of A[][] and row      // number of B[][] to be multiplied      let     i     =     0       j     =     0       k     =     0  ;          function     multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  )      {      // If all rows traversed      if     (  i     >=     row1  )      return  ;          // If i  < row1      if     (  j      <     col2  )      {      if     (  k      <     col1  )      {      C  [  i  ][  j  ]     +=     A  [  i  ][  k  ]     *     B  [  k  ][  j  ];      k  ++  ;          multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }          k     =     0  ;      j  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }          j     =     0  ;      i  ++  ;      multiplyMatrixRec  (  row1       col1       A       row2       col2       B       C  );      }          // Function to multiply two matrices A[][] and B[][]      function     multiplyMatrix  (  row1       col1       A       row2       col2       B  )      {      if     (  row2     !=     col1  )      {      document  .  write  (  'Not Possible'     +     ' 
'
); return ; } let C = new Array ( MAX ); for ( let i = 0 ; i < MAX ; i ++ ) { C [ i ] = new Array ( MAX ); for ( let j = 0 ; j < MAX ; j ++ ) { C [ i ][ j ] = 0 ; } } multiplyMatrixRec ( row1 col1 A row2 col2 B C ); // Print the result for ( let i = 0 ; i < row1 ; i ++ ) { for ( let j = 0 ; j < col2 ; j ++ ) document . write ( C [ i ][ j ] + ' ' ); document . write ( '
'
); } } let row1 = 3 col1 = 3 row2 = 3 col2 = 3 ; let A = [ [ 1 2 3 ] [ 4 5 6 ] [ 7 8 9 ] ]; let B = [ [ 1 2 3 ] [ 4 5 6 ] [ 7 8 9 ] ]; multiplyMatrix ( row1 col1 A row2 col2 B ); < /script>

Izvade
30 36 42 66 81 96 102 126 150  

Laika sarežģītība: O(1. rinda * 2. sleja* 1. kolonna)
Papildtelpa: O(log (maks.(rinda1col2)) Kā implicītā steka tiek izmantota rekursijas dēļ

 

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