For Mathlab Mathlab

In this task please use the vritual development lab "TASK 3". You will have to write a function and a program. Write your function in one file and a program in another. Write an octave function that calculates y =f(x), where f(x) is a mathematical function from the second task. You can write your octave function using the derived recursive formula from task 2, or using the original formula for a series (in that case you will lose 1 point). As the input, your function has to accept values x and N. As an output it has to return value of y. Use your function in the program. Define a vector X that contains evenly distributed values ranging from -2 to 0 (10 elements). Find the vector Y as the value vector of the function f(x) for the values of the vector X (use your octave function). Create a vector of absolute errors between vectro Y and perfect' values of function f(x) in the same data points (vector X values). The 'perfect' f(x) values find using predefined octave function (e.g.sin(), cos() etc. depending on your f(x)). Display the vector of absolute errors on the screen. In this task please use the vritual development lab "TASK 3". You will have to write a function and a program. Write your function in one file and a program in another. Write an octave function that calculates y =f(x), where f(x) is a mathematical function from the second task. You can write your octave function using the derived recursive formula from task 2, or using the original formula for a series (in that case you will lose 1 point). As the input, your function has to accept values x and N. As an output it has to return value of y. Use your function in the program. Define a vector X that contains evenly distributed values ranging from -2 to 0 (10 elements). Find the vector Y as the value vector of the function f(x) for the values of the vector X (use your octave function). Create a vector of absolute errors between vectro Y and perfect' values of function f(x) in the same data points (vector X values). The 'perfect' f(x) values find using predefined octave function (e.g.sin(), cos() etc. depending on your f(x)). Display the vector of absolute errors on the screen