mathajax

Vector Inner product

A matrix product of two vectors X and Y are called inner product that results a scalar output. The two vectors X and Y must have the same number of elements in order to measure inner product these two vectors.



A vector X has n elements
X vector

A vector Y has n elements
Y vector

Inner product of Two vectors X and Y
inner product of X and Y
or
vectors inner product
or
vectors inner product

Java code - vector inner product

The following Java code inner product of two vectors having same number of elements. The vectors can be defined in Java program by a integer array and a double array.


import java.util.Arrays;

public class Vector 
{
 
   public static double innerproduct(double vec[],double vec2[]) 
   {
       double inp=0.0;   
       for(int n=0;n<vec.length;n++)
       inp = inp +  vec[n] * vec2[n];
      return inp;
   }
 
   public static int innerproduct(int vec[],int vec2[]) 
  {
  
     int inp=0;   
     for(int n=0;n<vec.length;n++)
       inp = inp +  vec[n] * vec2[n];
     return inp;
  }

   public static void main(String[] args) 
   {
  
 System.out.println("\n Find inner product of 
                                           two vectors X and Y\n");
  
 double X[]={5.0, 1.2, -2.1};
 double Y[]={3.0, -2.6, 1.4};
  
 System.out.println( "\n vector X :" +Arrays.toString(X));  
 System.out.println( " vector Y :" + Arrays.toString(Y));  
 double inp = Vector.innerproduct(X, Y);  
 System.out.println( "Inner product of X and Y :" + inp );
  
 int iX[]={5, 1, 2};
 int iY[]={1, 4, -3};
  
 System.out.println( "\n vector iX :" +Arrays.toString(iX));  
 System.out.println( " vector iY :" + Arrays.toString(iY));  
 int inp2 = Vector.innerproduct(iX, iY);  
 System.out.println( "Inner product of iX and iY :" + inp2 );
  
  }

}


Output
Find inner product of two vectors X and Y

vector X :[5.0, 1.2, -2.1]
vector Y :[3.0, -2.6, 1.4]
Inner product of X and Y :8.94

vector X :[5, 1, 2]
vector iY :[1, 4, -3]
Inner product of iX and iY :3

Comments

Popular posts from this blog

Solving System of Linear Equations by Gauss Jordan Elimination

Matrix Forward and Back Substitution

Solve System of Linear Equations by LU Decompose

Chebyshev distance between two points

Binary 1's and 2's Complement