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Matrix operations:
There are some common operations on matrices. The operators which are applied term by term, implying that the matrices should be of similar size, sometimes are termed to as array operations. These involve addition and subtraction.
The Matrix addition means adding the two matrices term by term, that means they should be of the similar size. In mathematical terms, this is written cij = aij + bij.
Similar to the matrix addition, matrix subtraction means to subtract term by term, therefore in mathematical terms cij = aij - bij. This would also be accomplished by using a nested for loop in many languages, or by using the - operator in a MATLAB.
The Scalar multiplication means to multiply each and every element by a scalar number
This would also be accomplished by using a nested for loop in many languages, or by using the * operator in a MATLAB.
Example of image processing: The other illustration generates a 5 × 5 matrix of arbitrary integers in the range from 1 to the number of colors; the resultant image is as shown
Inverse of square matrix: The inverse is, hence the result of multiplying the scalar 1/D by each and every element in the preceding matrix. Note that this is not the matrix A,
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Image Processing: The Images are represented as grids, or matrices, of picture elements (known as pixels). In MATLAB an image usually is represented as a matrix in which each
Example of Gauss-jordan: For a 2×2 system, this would results and for a 3 × 3 system, Note that the resulting diagonal form does not involve the right-most col
Function cirarea - Anonymous functions: The function handle name is cirarea. The one argument is passed to the input argument radius. The body of the function is an expression
Set Operations: The MATLAB has numerous built-in functions which perform set operations on vectors. These involve intersect, union, setdiff, unique, and setxor. All these func
Solving 2 × 2 systems of equations: However this may be easy in a MATLAB, in normal finding solutions to the systems of equations is not. The systems which are 2 × 2 are, thou
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