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Appending variables to the Mat-File:
Appending to the file adds to what has been saved in a file, and is accomplished by using the -append option. For illustration, supposing that the variable mymat already has been stored in the file 'sess2.mat', this would append the variable x to the file:
>> save -append sess2 x
>> who -file sess2
Your variables are:
mymat x
Without identifying variable(s), just save -append would add all the variables from the Command Window to the file. Whenever this happens, when the variable is not in the file, it is appended. If there is a variable with similar name in the file, it is substituted by the present value from the Command Window.
Example Exit modular program: In the illustration below, the user Chose the Limit; - Whenever prompted for n, entered the two invalid values before finally ente
Illustration of anonymous functions: Dissimilar functions stored in the M-files, when no argument is passed to an anonymous function, the parentheses should still be in the fu
Reduced Row Echelon Form: The Gauss Jordan technique results in a diagonal form; for illustration, for a 3 × 3 system: The Reduced Row Echelon Forms take this one step
Intersect function and setdiff function: The intersect function rather than returns all the values which can be found in both of the input argument vectors. >> intersect(v
Finding products by for loop: an illustration, when 5 is passed to be the value of the input argument n, the function will compute and return 1 + 2 + 3 + 4 + 5, or 15: >> s
Example of modular program: In a modular program, there would be one main script which calls three separate functions to complete these tasks: A function to prompt an us
Execution steps: Whenever the program is executed, the steps below will take place: The script calcandprintarea starts executing. The calcandprintarea calls the readr
Q.1: Consider the transmission of a sinusoid x(t) = cos(2f0t) through a channel a ected by multipath and Doppler. Let there be two paths, and assume the sinusoid is being sent fro
Gauss Elimination: The Gauss elimination technique consists of: Generating the augmented matrix [A b] Applying EROs to augmented matrix to obtain an upper trian
Illustration of Sorting strings: To sort on the rows rather than second dimension should be specified. >> sort(words,2) ans = Hello Hdowy Hi Gbdeo
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