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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 which is the name of the field. The function checks first to ensure that the string which is passed is a valid fieldname for the structure. When it is, it sorts depends on that field, and when not it prints an error message and returns an empty vector. The Strings are generated having the name of the vector variable, followed by parentheses having the element number, the period, and lastly the name of the field. The strings are generated by using square brackets to concatenate the pieces of string, and the int2str function is used to convert the element number to a string. Then, by using the eval function, the vector elements are compared to establish the minimum.
Here are some illustrations of calling the function as shown below:
>> pack_by_price = general_pack_sort(packages,'price');
>> printpackages(pack_by_price)
Interpolation and extrapolation: In most cases, it is desired to estimate values other than at the sampled data points. For illustration, we may want to estimate what the temp
ischar function: The ischar function return the logical true if an array is a character array, or logical false if not. >> vec = 'EK127'; >> ischar(vec) ans =
Sorting Vectors of structures: Whenever working with vector of structures, it is very common to sort based on a particular field within the structures. For illustration, recal
Structures: The Structures are data structures which group together values which are logically related in what are known as the fields of structure. The benefit of structures
Intersect function and setdiff function: The intersect function rather than returns all the values which can be found in both of the input argument vectors. >> intersect(v
Patch function - graphics objects: The patch function is used to generate a patch graphics object, which is made from 2-dimensional polygons. The patch is defined by its verti
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
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 Variable scope: Running this function does not add any of variables to the workspace, as elaborated: >> clear >> who >> disp(mysum([5 9 1]))
Gauss Elimination: The Gauss elimination technique consists of: Generating the augmented matrix [A b] Applying EROs to augmented matrix to obtain an upper trian
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