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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.)
Symbolic Variables and expressions: The MATLAB has a type known as sym for the symbolic variables and expressions; these work with strings. The illustration, to generate a sym
Square Matrices: If a matrix has similar number of rows and columns, for illustration, if m == n, the matrix is square matrix. The definitions which follow in this part apply
Gauss Elimination: The Gauss elimination technique consists of: Generating the augmented matrix [A b] Applying EROs to augmented matrix to obtain an upper trian
sane as above
Preallocating a Vector: There are necessarily two programming techniques that can be used to simulate the cumsum function. One technique is to begin with an empty vector and c
Algorithm for the function e: The algorithm for the function eoption is as shown: Use the menu function to show the 4 choices. Error-check (an error would take place
Executing a program: Running the program would be completed by typing the name of the script; this would call the other functions: >> calcandprintarea Whenever prompt
Text graphic function - Graphics objects: The text graphic function permits text to be printed in a Figure Window, involving special characters which are printed by using \spe
Function strncmp: The function strncmp compares only the first n characters in the strings and ignores the rest. The initial two arguments are strings to compare, and third ar
Example of Plotting from a Function: For illustration, the function can be called as shown below: >> y = [1:2:9].^3 y = 1 27 125 343 729
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