Problem 3: The following data is given | * | 12. 23.4 4.8 67 | 33....
12. Given the data set: We want to find the interpolating polynomial of degree 2 through these points. a) Write the interpolating polynomial in Lagrange form b) Write the interpolating polynomial in Newton form.
Problem 2. Given the data points (xi. yi), with xi 2 02 4 yil 5 1 1.25 find the following interpolating polynomials, and use MATLAB to graph both the interpolating polynomials and the data points: a) The piecewise linear Lagrange interpolating polynomialx) b) The piecewise quadratic Lagrange interpolating polynomial q(x) c) Newton's divided difference interpolation pa(x) of degree s 4
Problem 2. Given the data points (xi. yi), with xi 2 02 4 yil 5 1 1.25 find the following...
The observed data are given below X 1 2 3 5 7 y 85.379.5 74.5 67 60.5 a)Use the divided difference table to determine the highest possible order. b)Use Newton's polynomial to determine x=3.5
I'm not allowed to use polyfit or polyval functions.
The hint the homework gives is setting up a linear system for
the polynomial coefficients and solving it.
The test case x = [1,2,3,4]
y = [5,-2,3,0]
x_dot = [1.5,2.5]
should result in
y_dot = -1.2500 0.2500
p = -3.333 26.0000 -61.6667 44.0000
Thanks to anyone who can answer this within the next day or
so!
1 Interpolation methods 1.1 The Lagrange polynomial function (y dot,p] = my Lagrange (x, y,x_dot)...
1. (25 pts) Given the
following start for a Matlab function: function [answer] =
NewtonForm(m,x,y,z) that inputs • number of data points m; •
vectors x and y, both with m components, holding x- and
y-coordinates, respectively, of data points; • location z; and uses
divided difference tables and Newton form to output the value of
the Lagrange polynomial, interpolating the data points, at z.
1. (25 pts) Given the following start for a Matlab function: function [answer] NewtonForm(m.x.yz) that...
3. (30 points) Let f(x) = 1/x and data points Zo = 2, x,-3 and x2 = 4. Note that you can use the abscissae to find the corresponding ordinates (a) (8 points) Find by hand the Lagrange form, the standard form, and the Newton form of the interpolating polynomial p2(x) of f(x) at the given points. State which is which! Then, expand out the Newton and Lagrange form to verify that they agree with the standard form of p2...
The observed data are given below x 12 3 5 7 y 85.379.5 74.5 67160.5 a)Use the divided difference table to determine the highest possible order. b)Use Newton's polynomial to determine x=3.5
In Problems, construct a scatterplot of the given data. Is there a trend in the data? Are any of the data points outliers? Construct a divided difference table. Is smoothing with a low-order polynomial appropriate? If so, choose an appropriate polynomial and fit using the least-squares criterion of best fit. Analyze the goodness of fit by examining appropriate indicators and graphing the model, the data points, and the deviations In the following data, X is the Fahrenheit temperature and Y...
Problem 3 You are given the following data: 510 15 20 25 30 35 40 45 50 Y 17 24 31 33 37 37 40 40 42 41 a. Use linear regression to fit a straight line, a parabola, and a cubic function to the data b. Plot the data and the different curves on the same plot c. What are the errors associated with the derived parameters for the different curves? d. Which curve best aligns with the given...
matlab
matlab
For this problem you will test a few interpolation approaches for the application of generating interpolated data. We'll do this by interpolating data that is sampled from a known mathematical function. The same function can then be used to compute true values at the interpolated points to use in error Consider the following mathematical function (Runge's function): 1+25r2 Write a function mfile that uses this formula to generate a set of data use those points along approaches outlined...