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Illustration of Writing variables to a file:
For illustration, in the below session in the Command Window, 3 variables are generated; these are then exhibited using who. Then, the variables are saved to file named 'sess1.mat'. The who function is then used to show the variables stored in that file.
>> mymat = rand(3,5)
mymat =
0.9501 0.4860 0.4565 0.4447 0.9218
0.2311 0.8913 0.0185 0.6154 0.7382
0.6068 0.7621 0.8214 0.7919 0.1763
>> x = 1:6;
>> y = x.^2;
>> who
Your variables are:
mymat x y
>> save sess1
>> who -file sess1
To save only one variable to a file, the format is as shown below:
save filename variablename
For illustration, only the matrix variable mymat is saved in a file known as sess2
>> save sess2 mymat
>> who -file sess2
mymat
Three-Dimensional Plots: The MATLAB has many functions which will display three-dimensional plots. Most of these functions have similar name as corresponding two-dimensional p
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
m=2/3 b=4/5
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
Plot types: Besides plot and bar, there are another plot types like stem plots, histograms, stem plots, area plots and pie charts, and also other functions which customize the
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
Common form of the switch statement: The common form of the switch statement is as shown below: switch switch_expression case caseexp1 action1 case cas
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
Indexed empty matrix: The Individual elements cannot be eliminated from matrices, as matrices always have the similar number of elements in every row. >> mat = [7 9 8; 4 6
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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