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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 Core objects: The one core graphics object is a line that is also what the plot function produces. Here is an illustration of generating a line object, altering som
Debugging Techniques: Any error in the computer program is called a bug. This word is thought to date back to the 1940s, whenever a problem with an early computer was found to
Types of errors: There are some various kinds of errors which can occur in a program, that fall into the categories of run-time errors, syntax errors, and logical errors. T
Opening and Closing a File: The Files are opened with the fopen function. By the default, fopen function opens a file for reading. If the other mode is preferred, a permission
Need of a nested loop: How would we sum each individual column, rather than getting an overall sum? Answer: The programming technique would need a nested loop in whi
Example of Functions which return values: Calling this function prints the circumference, since there is no way to store the value, hence, it can be used in following computat
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
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
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
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
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