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Vectors of Structures:
In numerous applications, involving database applications, information generally would be stored in the vector of structures, instead of in individual structure variables. For illustration, if the Computer Super Mart is storing information on all the software packages which it sells, it would likely be in a vector of structures, the illustration is as shown below,
In this illustration, the packages are vector which has three elements. It is shown as a column vector. Each and every element is a structure consisting of four fields, item_no, price, cost, and code. It may look like a matrix with rows and columns, but it is rather a vector of structures.
Cross Product: The cross or outer product a × b of two vectors a and b is defined only whenever both a and b are the vectors in three-dimensional space, that means that they b
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]))
Replacing, Finding, and separating strings: There are numerous functions which find and replace the strings, or parts of strings, within the other strings and functions which
Data structures: The Data structures are variables which store more than one value. In order to made sense to store more than one value in a variable, the values must in some
Vectors of Structures: In numerous applications, involving database applications, information generally would be stored in the vector of structures, instead of in individual s
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
Creating a cell array: The other method of creating a cell array is easy to assign values to particular array elements and build it up element by element. Though, as explained
Illustration of Graphics properties: A particular property can also be exhibited, for illustration, to view the line width: >> get(hl,'LineWidth') ans =
Reduced Row Echelon Form: The Gauss Jordan technique results in a diagonal form; for illustration, for a 3 × 3 system: The Reduced Row Echelon Forms take this one step
Example of file ploting data: As the other example, a data file called 'compsales.dat' stores the sales figures (in millions) for divisions in a company. Each line in the f
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