# Basic Operations

## Contents

## Basic Calculation

Simple math between two arrays with same size is straightforward. For example,

A = [1 2 3; 4 5 6]; B = [1 4 9; 16 25 36];

Try

A + B

ans = 2 6 12 20 30 42

and

A - B

ans = 0 -2 -6 -12 -20 -30

## Dot-Operators

MATLAB uses the dot-operator (** .**) construction to distinguish between scalar-vectorized operations and matrix operations. Dot-operators are meant to repeat
operations on the members of the array. For example,

A .* A

ans = 1 4 9 16 25 36

returns an array composed by square of each element in ** A**.

*(Note: This differs from A*A, which would fail in this case, since the matrix multiplication is only mathematically defined for arrays with the same number
of rows and columns.)*

Another example of dot-operator is the power (** ^**) function:

B.^0.5

ans = 1 2 3 4 5 6

which applies the "raise to the 0.5 power" operation to each member of the array B.

The division between two arrays is also a dot-operator:

A ./ B

ans = 1.0000 0.5000 0.3333 0.2500 0.2000 0.1667

which allows us to divide elements in A by the corresponding elements in B.

## Vectorized Functions

MATLAB is a vectorized language. That means it operates automatically over each member of an array without the need for an explicit loop (which would be necessary in C or FORTRAN). In fact, it is not only more compact, but more efficient and faster to avoid loops if possible.

Most (if not all) MATLAB functions are vectorized. For example:

B = [1 4 9; 16 25 36]; sqrt(B)

ans = 1 2 3 4 5 6

This uses the square root operator over each element of the array. Similarly, try:

log(B)

ans = 0 1.3863 2.1972 2.7726 3.2189 3.5835

sin(B)

ans = 0.8415 -0.7568 0.4121 -0.2879 -0.1324 -0.9918