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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.
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
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
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
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
Sort algorithm for Sorting vectors of structures: Note that only the price field is compared in the sort algorithm, but the whole structure is replaced. That is therefore each
i have a matlab project
Use of Nested if-else statements: By using the nested if-else to select from among the three possibilities, not all the conditions should be tested. In this situation, if x is
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
Example of image processing: The other illustration generates a 5 × 5 matrix of arbitrary integers in the range from 1 to the number of colors; the resultant image is as shown
Example of Exponential function modular program: In order to view the distinction in the approximate value for e as n increases, the user kept choosing Limit & entering larger
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