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Indexing into Vectors of structures:
Frequently, when the data structure is a vector of structures, it is essential to iterate through the vector in order by various fields. For illustration, for the packages vector defined formerly, it may be essential to iterate in order by the cost, or by the price fields. Instead of sorting the whole vector of structures depends on these fields, it may be more proficient to index into the vector depend on these fields, for illustration, to have an index vector based on cost and the other based on price.
Such index vectors would be generated as before, comparing the fields but exchanging the values in the index vectors. The index vectors have been once created, then they can be used to iterate through the packages vector in the preferred order
Tracing of Square matrices: The trace of a square matrix is the addition of all the elements on the diagonal. For illustration, for the preceding matrix it is 1 + 6 + 11 + 16,
Gauss-Jordan: The Gauss-Jordan elimination technique begins in similar way which the Gauss elimination technique does, but then rather than of back-substitution, the eliminati
Write a program to examine exponential function: We will write a program to examine the value of e and the exponential function. It will be a menu-driven. The menu options wil
Illustration of Sorting strings: To sort on the rows rather than second dimension should be specified. >> sort(words,2) ans = Hello Hdowy Hi Gbdeo
printrectarea function: function call: printrectarea(length, width) function header: function printrectarea(len, wid) In the function call, there are two argume
Function strncmp: The function strncmp compares only the first n characters in the strings and ignores the rest. The initial two arguments are strings to compare, and third ar
Illustration sorting vectors of structures: This function sorts the structures depend only on the price field. A more common function is shown next, that receives a string whi
Illustration of Set operations: For illustration, given the vectors as shown below: >> v1 = 2:6 v1 = 2 3 4 5 6 >> v2 = 1:2:7 v2 = 1 3 5 7
about sampling theorem
Displaying expressions: The good-looking function will show such expressions by using exponents; for illustration, >> b = sym('x^2') b = x^2 >> pretty(b)
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