procedure 1we will discard the other interval without the root dfirstevaluate fp f fp0replace a

Let's discuss this question. So here we need to use the linear approximation to estimate the col

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Hello everyone so here the interval AB tends to 0 1 so here if AB tends to 0 1 and gel AB tends

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So, code in MATLAB will be clc % enter value for n from user. Now n is equals to input n minus g

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Procedure: 1. We will discard the other interval without the root. 2. First, evaluate fp. 3. If f(p)>0, replace a such that the new interval is (p,b). Redefine a as p. 4. If f(p)<0, replace b such that the new interval is (a,p). Redefine b as p. 5. Note that after the bisection, the interval is half the width of the previous interval. Based upon Dr. Keyser's Original Revised Summer 2019 TLF Lab Assignment #12b Writing the Python Code to Plot a Cubic Polynomial: You will want to plot your cubic polynomial so that you can determine the interval (a,b) for implementing the bisection method discussed above. There are plenty of web-based programs that will plot an equation, but since we know all about matplotlib, we should be able to write a program of our own. The code to plot a cubic polynomial should perform the following tasks: 1. Print a message indicating the purpose of the program and simple instructions. 2. Read the coefficients of the cubic polynomial from the keyboard. - Use one input statement for retrieving all four coefficients. - Create a Python list with the coefficients as elements of the list. 3. Use numpy functions and a user-defined function to populate numpy arrays for x-values and y-values. 4. Create a user-defined function in your code to evaluate f(x) for the cubic polynomial given a value of x. - def evalCubic(coeffs, xvalue): - When calling the function, send the name of the coefficient list and the x value of interest to the function as parameters. - The return value should be f(x) or a y value. 5. Choose an appropriate interval for your plot. - This interval consists of two x values which determine the left and right limits of your plot. - (Note: this interval is for plotting, not for the bisection method) 6. Use numpy.linspace to create an array of x-values for the plot. - Use enough values so that you can accurately choose the interval (a,b) for the bisection method. 7. Create a numpy array of values using the array of x-values and your user-defined function. 8. Use matplotlib functions to create a plot of your cubic polynomial. - Include title, x-axis label, and y-axis label.

          Procedure:
1. We will discard the other interval without the root.
2. First, evaluate fp.
3. If f(p)>0, replace a such that the new interval is (p,b). Redefine a as p.
4. If f(p)<0, replace b such that the new interval is (a,p). Redefine b as p.
5. Note that after the bisection, the interval is half the width of the previous interval.

Based upon Dr. Keyser's Original Revised Summer 2019 TLF Lab Assignment #12b

Writing the Python Code to Plot a Cubic Polynomial:
You will want to plot your cubic polynomial so that you can determine the interval (a,b) for implementing the bisection method discussed above. There are plenty of web-based programs that will plot an equation, but since we know all about matplotlib, we should be able to write a program of our own.

The code to plot a cubic polynomial should perform the following tasks:
1. Print a message indicating the purpose of the program and simple instructions.
2. Read the coefficients of the cubic polynomial from the keyboard.
   - Use one input statement for retrieving all four coefficients.
   - Create a Python list with the coefficients as elements of the list.
3. Use numpy functions and a user-defined function to populate numpy arrays for x-values and y-values.
4. Create a user-defined function in your code to evaluate f(x) for the cubic polynomial given a value of x.
   - def evalCubic(coeffs, xvalue):
   - When calling the function, send the name of the coefficient list and the x value of interest to the function as parameters.
   - The return value should be f(x) or a y value.
5. Choose an appropriate interval for your plot.
   - This interval consists of two x values which determine the left and right limits of your plot.
   - (Note: this interval is for plotting, not for the bisection method)
6. Use numpy.linspace to create an array of x-values for the plot.
   - Use enough values so that you can accurately choose the interval (a,b) for the bisection method.
7. Create a numpy array of values using the array of x-values and your user-defined function.
8. Use matplotlib functions to create a plot of your cubic polynomial.
   - Include title, x-axis label, and y-axis label.

procedure 1we will discard the other interval without the root dfirstevaluate fp f fp0replace a such that the new interval is pbredefine a as p iiif fp0replace b such that the new interval i 41662

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