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Roots function - Polynomials:
The roots function in MATLAB is used to find the roots of an equation represented by a polynomial. For illustration, for the mathematical function (Note that this is a mathematical expression, not a MATLAB!),
f(x) = 4x3 - 2x2 - 8x + 3
to compute the equation f(x) = 0:
>> roots([4 -2 -8 3])
ans =
-1.3660
1.5000
0.3660
Program of Persistent variables: The program below elaborates this. The script calls a function func1 that initializes a variable count to 0, then increment it, and print the
Mode The mode of a data set is the value which appears most often. The built-in function in a MATLAB for this is known as the mode. >> x = [9 10 10 9 8 7 3 10 9 8 5 10];
Example of Vectorizing: Likewise, for an operation on a matrix, a nested loop would be needed; for illustration, supposing a matrix variable mat: [r c] = size(mat); for
Example of Function stubs: The three functions have not so far been written, though, therefore the function stubs are put in place so that the script can be executed and teste
Use of function polyval: The better the curve fit, the more exact these interpolated and extrapolated values will be. By using the subplot function, we can loop to display the
Reading from Files: There are many lower level functions which read from files. The function fscanf reads the formatted data into a matrix, by using conversion formats like %s
Persistent Variables: Generally, whenever a function stops executing, then the local variables from that function are cleared. That means that each and every time a function i
WHILE Loops: The while statement is used as a conditional loop in MATLAB; it is used to repeat an action whenever ahead of the time it is not known how many times the action w
Example of customizing plots: As the other illustration of customizing plots, the pieces of a pie chart can be "exploded" from the rest. In this situation, the two vectors are
fopen function - file function: The fopen opens the file for reading. The fscanf then reads each line one double and one character, and put each pair in individual columns in
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