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Print an imaginary number:
To print an imaginary number, the function disp will show both parts automatically:
>> disp(z1)
4.0000 + 2.0000i
The function fprintf will print only the real part unless both parts are printed individually:
>> fprintf('%f\n', z1)
4.000000
>> fprintf('%f %f\n', real(z1), imag(z1))
4.000000 2.000000
>> fprintf('%f + %fi\n', real(z1), imag(z1))
4.000000 + 2.000000i
Writing variables to a File: The save command is used to write variables to a file, or to append the variables to a MAT-file. By the default, save function writes to a MAT-fil
Pie chart - plot functions: The MATLAB also has a function pie which will generate a pie chart. Calling the function with the form pie (vec) draws a pie chart, by using the pe
Indexed empty matrix: The Individual elements cannot be eliminated from matrices, as matrices always have the similar number of elements in every row. >> mat = [7 9 8; 4 6
Differentiation: The derivative of a function y = f(x) can be written as follows or f '(x) and is defined as the rate of change of the dependent variable y with respe
Types of User-defined Functions: We know how to write a user-defined function, stored in an M-file, which computes and returns one value. This is merely one type of the functi
sprintf function: The sprintf function works precisely like the fprintf function, but rather than printing it generates a string. Here are some illustrations in which the outp
Changing Dimensions: In addition to transpose operator, the MATLAB has some built-in functions which change the dimensions or configuration of matrices, involving fliplr, resh
Illustration of Writing to files: Here is the other illustration in which a matrix is written to a file. At First, an arbitrary 2 × 4 matrix is generated, and then it is writt
User-defined functions: Therefore, although many functions compute and return values, some do not. A few functions rather merely accomplish a task. Regardless of what type of
Illustration of Variance For illustration, for the vector [4, 6, 1, 5], there are n = 4 values therefore n - 1 is 3. The mean of this data set is also 4. The variance will be
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