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Examine exponential function:
The algorithm for the main script program is shown below:
- Call the function explaine to print a description of e
- Call the function limite which will prompt the user for n and compute an approximate value for e
- Prompt the user for x and call the function expfn which will print both an approximate value for ex and the value of the built-in exp(x). (Note: Any value for x is satisfactory; therefore the program does not require to error-check this value.)
Logical scalar values: The MATLAB also has or and and operators which work element wise for the matrices: These operators will compare any of the two vectors or matric
Illustration of Graphics properties: A particular property can also be exhibited, for illustration, to view the line width: >> get(hl,'LineWidth') ans =
Technique to creating this structure: An alternative technique of creating this structure, that is not as efficient, includes using the dot operator to refer to fields in the
FOR Loop: The for loop, or the for statement, is used whenever it is essential to repeat statement(s) in the script or function, and whenever it is known ahead of time how man
Displaying expressions: The good-looking function will show such expressions by using exponents; for illustration, >> b = sym('x^2') b = x^2 >> pretty(b)
Creating Cell arrays: There are many ways to create cell arrays. For illustration, we will create a cell array in which one element will store an integer, one element store ch
Displaying the cell arrays: There are several techniques of displaying the cell arrays. The celldisp function shows all elements of the cell array: >> celldisp(cellro
Example of file ploting data: As the other example, a data file called 'compsales.dat' stores the sales figures (in millions) for divisions in a company. Each line in the f
Removing Whitespace Characters: The MATLAB has functions which will eliminate trailing blanks from the end of a string and/or leading blanks from the starting of a string.
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
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