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Fliplr function:
The fliplr function "flips" the matrix from left to right (in another words the left-most column, the first column, become the last column and so on), and the flipud functions flips up to down. Note that in these illustrations mat is unchanged; rather than, the results are stored in the default variable ans each time.
The rot90 function rotates the matrix counter clockwise 90 degrees, therefore for illustration the value in the top-right corner becomes rather than the top-left corner and the last column becomes the first row:
>> mat
mat =
14 61 2 94
21 28 75 47
20 20 45 42
>> rot90(mat)
ans =
94 47 42
2 75 45
61 28 20
14 21 20
Strings as matrix: The matrix can be generated, that consists of strings in each row. Therefore, essentially it is created as a column vector of strings, but the final result
Polar Form: Any complex number z = a + bi can be thought of as a point (a,b) or vector in the complex plane in which the horizontal axis is the real part of z, and the vertica
Illustration of Advanced file input and output: For illustration, to refer to the third number in the first element of the cell array: >> subjdata{1}(3) ans =
Standard Deviation The standard deviation is the square root of variance: The built-in function in a MATLAB for the standard deviation is known as std; the standard dev
Example of Recursive functions: This definition is recursive as a factorial is defined in terms of the other factorial. There are two parts to any recursive definition: the co
Functions to create special matrices: The MATLAB also has various functions which create special matrices. For illustration, the zeros function generates a matrix of all zeros
If I have a vector representing the packed storage form of a symmetric matrix, how do I perform a cholesky factorisation on that?
Built-in function for Differentiation: The MATLAB has a built-in function, diff that returns the differences between consecutive elements in a vector. For illustration, >>
Illustration of Standard Deviation The less spread out the numbers are, therefore smaller the standard deviation will be, as it is a way of determining the spread of the data.
Example of Minimum and Maximum Value For matrices, the functions min and max operate column wise by the default: >> mat = randint(2,4,[1 20]) mat = 9 10 1
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