Multiplication is supported by the star operator, *, just like for scalars.

Multiplication between two vectors or matrices requires that the inner dimensions be equal.  That is A*B requires number of columns of A be equal to number of rows of B.  The exception is when one of them is a scalar.  The product is defined as follows:

The result is a vector or matrix.

> A = [1, 2, 3; 4, 5, 6]; print(A)

[Matrix] (2 x 3)

1        2        3

4        5        6

> B = [10; 20; 30]; print(B)

[Matrix] (3 x 1)

10

20

30

> print(A*B)

[Matrix] (2 x 1)

140

320

Multiplication for vector and matrices of complex data is supported.

x=[1+2i, 3+4i; 5, 7i]; print(x*x)

[Matrix] (2 x 2)

 

12 +    24i    -33 +    31i

 5 +    45i    -34 +    20i

Element wise multiplication is also supported using the dot notation (.*)

> A = [1, 2, 3]; B=[4, 5, 6]; C = A.*B; print(C)

[Matrix] (1 x 3)

4        10        18

> B = [10; 20; 30]; print(B.^2)

[Matrix] (3 x 1)

100

400

900

Scalars can also be raised to a vector or matrix. In such cases, a vector or matrix is created with each element in it being the scalar raised to the power of each element in the input vector or matrix.