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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
Lower Level File I/O Functions: Whenever reading from data file, as long as the data in the file is "regular" the load function works-in another words, the similar type of dat
Illustrations of Sequential search: The two illustrations of calling such function is as shown below: >> values = [85 70 100 95 80 91]; >> key = 95; >> seqsearch
Median The median is defined only for a data set which has been sorted first, that means that the values are in order. The median of a sorted set of data values (n) is defined
Example of Nested functions: For illustration, the function below computes and returns the volume of a cube. Three arguments are then passed to it, for the width and length of
Illustration of reading from files: For illustration, suppose that there is a data file 'subjexp.dat' that has on each line a number followed by thecharacter code. The type fu
Steps for input output functions - Lower level file: The steps involved are as shown below: Open the file. Read the file, write to the file, or append to the file.
Statistics There are numerous statistical analyses which can be executed on data sets. In MATLAB software, the statistical functions are in the data analysis help topic known a
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
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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