Vector and matrix data types are supported in HyperMath to enhance numerical computing.

HyperMath supports up to a 2-dimensional matrix data type.  The 1-dimensional case is referred to as a vector.  Only numerical entries are permitted.  Many of the standard mathematical matrix operations, such as inversion, can be performed on this data type.

Matrices are created using a pair of square brackets, [].  Each element is separated by a comma.  Below is an example of a vector creation (1-dimensional matrix).

> x = [1,2,3]; print(x)

[Matrix] (1 x 3)

1 2 3

The above example creates a row vector, that is, its dimensions are 1 row by 3 columns (1x3).  To make a 3x1 vector, separate the entries by a semicolon (;) like this:

> x = [1;2;3]; print(x)

[Matrix] (3 x 1)

1

2

3

A 2-dimensional matrix is created by extending the above idea.  Here is a 2x3 matrix:

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

[Matrix] (2 x 3)

1 2 3

4 5 6

Elements of a matrix can be accessed using a pair of parenthesis, ().  For example, the third column of the second row can be accessed as :

> print("The value in 2nd row & 3rd column is:", x(2,3) )

The value in 2nd row & 3rd column is:    6

Vector and matrices of complex numbers are supported as well.

>  x=[1+2i, 3+4i; 5, 7i]; print("The complex matrix is:",x)

The complex matrix is:    [Matrix] 2 x 2

   1 +     2i      3 +     4i

            5      0 +     7i

Matrices support many more functionalities.  See Vector and Matrix Data for more information.