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Illustration of a conditional loop - While loop:
As an illustration of a conditional loop, we will write a function which will find the first factorial which is greater than the input argument high. Formerly, we wrote a function to compute a specific factorial. For illustration, to compute 5! We found the product 1 * 2 * 3 * 4 * 5. In that situation a for loop was used, as it was known that the loop would be repeated 5 times. Now, we do not know how many times the loop will be repeated. The fundamental algorithm is to have two variables, one that iterates throughout the values 1, 2, 3, and so forth, and one which stores the factorial of the iterator at each step. We begin with 1, and 1 factorial, that is 1. Then, we confirm the factorial. If it is not bigger than high, the iterator variable will then increment to 2, and finds its factorial (2). If this is not greater than high, the iterators will then increment to 3, and the function will also find its factorial (6). This continues till we get to the first factorial which is greater than high. Therefore, the process of incrementing a variable and finding its factorial is repeated till we get to the first value greater than high. This is implemented by using a while loop:
Micro-mouse is an engineering design competition created by IEEE in the late 1970s. Small robotic "mice" solve a 16x16 cell maze. The mice are completely autonomous and must find t
Write a function that will take in a simplex tableau and an associated basis, and return the initial feasible solution of the tableau x as a column vector, as well as the objective
why we use wavelet in image processing ?
User-Defined Functions which return a Single Value: We have seen the use of many functions in the MATLAB. We have used many built-in functions like fix, sin, abs, double, and
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Illustration of modifying the matrix elements: If a single index is used with the matrix, the MATLAB unwinds the matrix column by column. For illustration, for the matrix intm
Create a text file with simulated data. Calculate an experimental y using the first function and some reasonable values for the parameters Add noise Save the x values and ca
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