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Illustration of Writing to files:
Here is the other illustration in which a matrix is written to a file. At First, an arbitrary 2 × 4 matrix is generated, and then it is written to the file by using the format string %d %d\n', that means that each column from the matrix will be written as an individual line in the file.
>> mat = randint(2,4,[5 20])
mat =
20 14 19 12
8 12 17 5
>> fid = fopen('randmat.dat','w');
>> fprintf(fid,'%d %d\n',mat);
>> fclose(fid);
As this is a matrix, the load function is used to read it in.
>> load randmat.dat
>> randmat
randmat =
20 8
14 12
19 17
12 5
>> randmat'
ans =
Transposing the matrix will show in the form of the original matrix. When you want this to start with, the matrix variable mat can be transposed before using the fprintf to write to the file. (Obviously, it would be much easier in this situation to just use save rather than!)
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
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,
Function isreal - complex numbers: The function isreal returns 1 for logical true when there is no imaginary part of the argument, or 0 for false when the argument does have a
Pie chart - plot functions: The MATLAB also has a function pie which will generate a pie chart. Calling the function with the form pie (vec) draws a pie chart, by using the pe
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
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
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.
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
Creating string Variables: The string consists of a few numbers of characters (including, possibly, none). These are the illustrations of the strings: '' 'x' 'ca
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
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