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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
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 =
Refer the subset of a matrix: It is also possible to refer to the subset of a matrix. For illustration, this refers to the first & second rows, second & third columns: >> m
Symbolic Expression The solve function solves an equation and returns the solution(s) as symbolic expressions. The answer can be converted to numbers by using any numeric funct
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
Three-dimensional pie and bar: For the bar3 function, x & y vectors are passed and the function displays three-dimensional bars as shown in figure: Figure: Three-dimen
Sorting The Sorting is a process of putting a list in order; either in descending (maximum to minimum), or ascending (minimum to maximum) order. For illustration, here is a li
Error-checking for integers: illustrations of running this script as shown below: >> readoneint Enter an integer: 9.5 Invalid! Enter an integer: 3.6 Invalid
5 p2+8p+15, 3 p2-3p-18, 12 p2-p-30
m=2/3 b=4/5
Write a MATLAB function [d1, u1, l1, c1, r1] = NaiveGaussArrow(d, u, l, c, r) that takes as input the 5 vectors dened above representing A. This function performs Naive Gauss redu
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