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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];
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
Illustration of Nested loops: Running the script shows the output: >> printstars ***** ***** ***** The variable rows identifies the number of rows to print, and
Example of Function stubs: The three functions have not so far been written, though, therefore the function stubs are put in place so that the script can be executed and teste
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
function sortrows - sorting strings: The function sortrows sorts each and every row as a block, or group, and it also will work on numbers. Here in this illustration the rows
Location of a rectangle - graphics objects: The location of a rectangle is [x y w h], where x and y are the coordinates of the lower left point, here w is the width, and h is
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
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
Run-time or execution-time error: The Run-time, or execution-time, errors are found whenever a script or function is executing. With most of the languages, an illustration of
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];
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