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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
Writing and Reading Spreadsheet Files: The MATLAB functions xlswrite & xlsread will write to and read from the spreadsheet files which have the extension .xls. For illustratio
This project requires you to use the ideas of Chapter 25 regarding maximization of a function. Here we assume that evolution has acted to generate highly efficient foragers. By hig
Function xlsread - file function: The function xlsread will read from the spreadsheet file. For illustration, to read from file just generated: >> ssnums = xlsread('ranexc
Illustration of Empty vectors: The Empty vectors can also be used to delete elements from the arrays. For illustration, to remove the third element from array, an empty vector
Histogram: The histogram is a particular type of bar chart which shows the frequency of occurrence of the values within a vector. The Histograms use what are known as bins to
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Plot Functions: Faraway, we have plotted to generate two-dimensional plots and bar to generate bar charts. We have seen how to clear the Figure Window by using clf, and how to
Logical Vectors: The relational operators can also be used with the vectors and matrices. For illustration, let's say that there is a vector, and we want to compare each eleme
Illustration of Minimum and Maximum Value Both of these functions also return the index of the minimum or maximum value; when there is more than one occurrence, it returns the
If I have a vector representing the packed storage form of a symmetric matrix, how do I perform a cholesky factorisation on that?
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