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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.
Function call: In the function call, not any arguments are passed so there are no input arguments in the function header. The function returns an output argument, therefore th
Use of While loop: Here is an illustration of calling the function, passing 5000 for the value of the input argument high. >> factgthigh(5000) ans = 5040 The itera
Function issorted - set operations: The function issorted will return 1 for logical true when the argument is sorted in ascending order (minimum to maximum), or 0 for false wh
Illustration of gauss-jordan elimination: An illustration of interchanging rows would be r1 ¬→ r3, that would results: Now, beginning with this matrix, an illustration of sc
Function cellplot - Cell array: The function cellplot place a graphical display of the cell array in a figure Window; though, it is a high-level view and fundamentally just di
Simplification Functions: There are numerous functions which work with expressions, and simplify the terms. Not all the expressions can be simplified, but the simplify functio
function
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
Finding products by for loop: an illustration, when 5 is passed to be the value of the input argument n, the function will compute and return 1 + 2 + 3 + 4 + 5, or 15: >> s
Dot Product: The dot or inner product of two vectors a and b is written as a • b and is defined as In another words, this is like matrix multiplication when multiplyi
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