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Vectorizing:
In most of the cases in MATLAB, loops are not essential. As MATLAB is written specifically to work with the vectors and matrices, most operations can be completed and functions can be called with the vectors and matrices. However, the term vectorizing is used in MATLAB for rewriting code by using loops in a traditional programming language to the matrix operations in MATLAB.
In many programming languages, whenever performing an operation on a vector, a for loop is used to loop through the whole vector. For illustration, in MATLAB supposing that there is a vector variable vec:
for i = 1:length(vec)
% do something with vec(i)
end
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
Variable packages: Variable packages are now the vector of structures, hence each and every element in the vector is a structure. To show one element in the vector, an index i
Properties of the text box - graphics objects: By using get will show properties of the text box, the illustration is as shown below: >> get(thand) BackgroundColor
Data structure layers: There are many layers in this variable. For illustration, cyls is the whole data structure, that is a vector of structs cyls(1) is a separate
Working of Editor and debugger: Editor/Debugger, or commands can be typed from Command Window. For illustration, the dbstop command below will set a breakpoint in the fifth li
Indexing: The Indexing is an alternate to sort a vector. With indexing, the vector is left in its original order. An index vector is used to point values in the original vecto
Logical errors: The Logical errors are more complicated to locate, as they do not result in any error message. The logical error is a mistake in reasoning by the programmer, b
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
Example of Median For the vector [1 4 5 9 12 33], the median is the average of the 5 & 9 in the middle: >> median([1 4 5 9 12 33]) ans = 7
Advanced File Input and output: Where 'format' involves the conversion characters much like those used in the fprintf function. For illustration, to read the file 'subjexp.dat
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