What are operators ?
An operator is a symbol that tells the compiler to perform specific mathematical or logical manipulations. Matlab is designed to operate primarily on whole matrices and arrays. Therefore, operators in Matlab work both on scalar and non-scalar data. Matlab allows the following types of elementary operations:
Addition (+), subtraction (-), multiplication (*), division (/), power (^)
MATLAB allows two different types of arithmetic operations
- Matrix arithmetic operations
- Array arithmetic operations
Matrix arithmetic operations are same as defined in linear algebra. Array operations are executed element by element, both on one-dimensional and multidimensional array. The matrix operators and array operators are differentiated by the period (.) symbol.
Use of Arithmetic operators:
2^2/(5^2 -1) + 1 >>3.5 use of arithmetic operators in array (Note: declaration of array will be discussed in next article ) A = [1 2 3] % a is a roe vector with three elements B = [3; 4; 5] % b is column vector with three elements C = [7 8 9]<br><br> D = A + B %Error using ==> plus matrix dimensions must be agree. You can not add a row vector to a column vector E = A.*C %You can multiply (or divide) the elements of two same-sized vectors term by term with the array operator .* or ./ E = 7 16 27
Value comparisons (>, <, >=, <=, ==, ~=)
Relational operators compare operands quantitatively, using operators like “less than”, “greater than”, and “not equal to.” The result of a relational comparison is a logical array indicating the locations where the relation is true.
The relational operators perform element-wise comparisons between two arrays. The arrays must have compatible sizes to facilitate the operation. Arrays with compatible sizes are implicitly expanded to be the same size during execution of the calculation. In the simplest cases, the two operands are arrays of the same size, or one is a scalar. For more information.
Results will be given in binary format i.e either one or zero (see example below)
A = [1 2 6; 8 10 12] = 1 2 6 8 10 12 B = [3 4 5; 9 9 9] = 3 4 5 9 9 9 A < B Result will be 1 1 0 1 0 0 Similarly, you can compare one of the arrays to a scalar. A < 9 Result will be 1 1 1 1 0 0 <span id="mce_marker" data-mce-type="bookmark" data-mce-fragment="1"></span><span id="mce_marker" data-mce-type="bookmark" data-mce-fragment="1"></span>
The relational operators work with arrays for which any dimension has size zero, as long as both arrays have compatible sizes. This means that if one array has a dimension size of zero, then the size of the corresponding dimension in the other array must be 1 or zero, and the size of that dimension in the output is zero.
A = ones(4,0); B = ones(4,1); A == B ans = Empty matrix: 4-by-0 However, expressions such as A == 
Use relational operators in conjunction with the logical operators A&B (AND), A|B (OR), xor(A,B)(XOR), and ~A(NOT), to string together more complex logical statements.
True or false (Boolean) conditions (AND, OR, NOR, XOR, NOT)
Unions, intersection, set membership