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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 row = 1:r
for col = 1:c
% do something with mat(row,col)
end
typically in MATLAB, this is not essential. The Numerical operations can be completed on whole vectors or matrices. For illustration, let's say that we want to multiply each and every element of a vector v by 3, and store the outcome back in v, here v is initialized as shown below:
>> v = [3 7 2 1];
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
Polynomials: Simple curves are polynomials of various degrees, or orders. The degree is the integer of the highest exponent in the expression. The illustrations are as follows
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
Function Stubs: The other common debugging method, which is used when there is a script main program which calls many functions, is to use the function stubs. A function stub
Illustration of Nested loops: Running the script shows the output: >> printstars ***** ***** ***** The variable rows identifies the number of rows to print, and
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
Sorting Strings: For the matrix of strings, the sort function works exactly as formerly for numbers. For illustration, >> words = char('Hi', 'Hello', 'Howdy', 'Goodbye', '
Determine sequence weights for the sequences ACTA, ACTT, CGTT, and AGAT in problem 1 by using Thompson, Higgins, and Gibson method a) compute pairwise distances between sequences
Rectangle - graphics objects: The other core graphics object is the rectangle that can have curvature added to it (!!). Merely calling the function rectangle without any argum
Curve Fitting: The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration, The temperature recorded every ho
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