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Empty Vectors:
An empty vector or in another words, a vector which stores no values, can be generated using the empty square brackets:
>> evec = []
evec = []
>> length(evec)
ans = 0
Then, values can be added to the vector by concatenating, or by adding values to the existing vector. The statement below takes what is presently in evec that is nothing, and adds a 4 to it.
>> evec = [evec 4]
evec = 4
The statement below takes what is presently in evec that is 4, and adds an 11 to it.
>> evec = [evec 11]
evec = 4 11
This can be continued as numerous times as desired, in order to build a vector up from nothing.
bar and barh functions: For a matrix, the bar and barh functions will group altogether the values in each and every row. The illustration is as shown: rm = randint(2,4,[1
m=2/3 b=4/5
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
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
Function fopen - file function: The permission string in the call to the fopen function identifies that the file is opened for writing to it. Just as when reading from a file,
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
Labels and Prompts: The script loads all the numbers from file into a row vector. It then splits the vector; it stores the initial element that is the experiment number in a v
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
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
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
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