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Curve Fitting:
The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration,
This gives data of the form of (x,y) points, which then could be plotted. For illustration, let's say the temperature was recorded every hour one afternoon from 2 to 6 p.m.; the vectors may be:
>> x = 2:6;
>> y = [65 67 72 71 63];
and then the plot may appear like figure as shown below:
Nested Structures: The nested structure is a structure in which at least one of the members is itself a structure. For illustration, a structure for the line segment may co
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
Introduction and Purpose In the lectures and tutorials you have been introduced to a number of probability distributions. You have also learned that modelling any system (such
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
Illustration of nested for loops and the if statements: For illustration,when the file contains: 33 -11 2 4 5 9 22 5 -7 2 11 3 the outco
Illustration of Indexing into vectors of structures: For illustration, the function to print the information from packages has been modified therefore in addition to the vecto
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
The IF Statement: The if statement selects whether or not the other statement, or group of statements, is executed. The common form of the if statement is as shown below: i
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
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
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