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Indexing into Vectors of structures:
Frequently, when the data structure is a vector of structures, it is essential to iterate through the vector in order by various fields. For illustration, for the packages vector defined formerly, it may be essential to iterate in order by the cost, or by the price fields. Instead of sorting the whole vector of structures depends on these fields, it may be more proficient to index into the vector depend on these fields, for illustration, to have an index vector based on cost and the other based on price.
Such index vectors would be generated as before, comparing the fields but exchanging the values in the index vectors. The index vectors have been once created, then they can be used to iterate through the packages vector in the preferred order
Matrix solutions to systems of the linear algebraic equations: The linear algebraic equation is an equation of the form a 1 x 1 + a 2 x 2 + a 3 x 3 . . . . a n x n
Reading from a File in a While Loop: Though in most languages the combination of a loop and an if statement would be essential to determine whether or not the elements in a ve
Reading from a Mat-File: The load function is used to read from various types of files. As with save function, by default the file will be supposed to be a MAT-file, and load
Finding a sting - function strfind: The function strfind does necessarily similar thing, except that the order of the arguments does make dissimilarity. The common form is str
Subfunctions: Though, it is possible to have more than one function in a given M-file. For illustration, if one function calls the other, the first function would be the prima
Replacing a string - function strrep: The function strrep finds all the occurrences of a substring within the string, and substitutes them with a new substring. The order of a
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
Example of image processing: The other illustration generates a 5 × 5 matrix of arbitrary integers in the range from 1 to the number of colors; the resultant image is as shown
Illustration of Variable scope: Running this function does not add any of variables to the workspace, as elaborated: >> clear >> who >> disp(mysum([5 9 1]))
Gauss-Jordan: The Gauss-Jordan elimination technique begins in similar way which the Gauss elimination technique does, but then rather than of back-substitution, the eliminati
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