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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 before, expanding an array element by element is a very ineffective and time-consuming technique. It is much more efficient, if the size is known ahead of time, to preallocate the array. For the cell arrays, this is completed with the cell function. For illustration, to preallocate a variable mycellmat to be a 2 × 2 cell array, the cell function would be called as shown below:
>> mycellmat = cell(2,2)
mycellmat =
[] []
Note that this is a function call; therefore the arguments to the function are in parentheses. This generates a matrix in which all the elements are empty vectors. Then, each and every element can be replaced by the desired value.
Matrix solutions to systems of the linear algebraic equations: The linear algebraic equation is an equation of the form a 1 x 1 + a 2 x 2 + a 3 x 3 . . . . a n x n
Finding a sting - function strfind: The function strfind does necessarily similar thing, except that the order of the arguments does make dissimilarity. The common form is str
Function used in binary search: The function below implements this binary search algorithm. It receives two arguments: the sorted vector and a key (on the other hand, the func
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
str2num function - String: The function str2num does the opposite; it takes the string in which a number is stored and converts it to the type double: >> num = str2num('123.
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
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
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
Symbolic Variables and expressions: The MATLAB has a type known as sym for the symbolic variables and expressions; these work with strings. The illustration, to generate a sym
Finding sums and products: A very general application of a for loop is to compute sums and products. For illustration, rather than of just printing the integers 1 through 5, w
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