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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.
Set Operations: The MATLAB has numerous built-in functions which perform set operations on vectors. These involve intersect, union, setdiff, unique, and setxor. All these func
Execution steps: Whenever the program is executed, the steps below will take place: The script calcandprintarea starts executing. The calcandprintarea calls the readr
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
FOR Loop: The for loop, or the for statement, is used whenever it is essential to repeat statement(s) in the script or function, and whenever it is known ahead of time how man
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
Technique to create Nested structures: This technique is the most proficient. Though, the other technique is to build the nested structure one field at a time. As this is a ne
Implementation of binary search: The binary search can be implemented as a recursive function. The recursive function below also implements this binary search algorithm. It re
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
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
Variable Scope: The scope of any of variable is the workspace in which it is valid. The workspace generated in the Command Window is known as the base workspace. As we know
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