Sin Antio 4:34% Problem 4: (20 points) The data is fit by quadratic spline interpolation given...
. Problem 3: For the following data points r 0123 12 10 a) Find the linear interpolation spline. b) Find the quadratic interpolation spline.
. Problem 3: For the following data points r 0123 12 10 a) Find the linear interpolation spline. b) Find the quadratic interpolation spline.
Assuming that the first spline is linear in quadratic spline interpolation, the number of unknowns in the splines for 10 data points is QUESTION 2 The following y vs. x data is given 1 225 3.7 5.1 4.25 68615.1 The data is fit by quadratic spline interpolants given by AX) - 2.85 +1.4x, 1 5X5 2.25 AXX2dx +2.25 SX5 3.7 A x) = fx2gx+, 3.7<*5.1 The value of d most nearly is QUESTION 3 The following y vs. x data...
matlab
D [10 pts Consider following data points Groups a) Use linear interpolation method to fit data. Use 'interp1 b) Fit data with a cubie spline. Use "spline e) Fit a 4h degree polynomial using "polyf Tools Help Make a figure for each of the interpolation methods. In each figure show data points using ocircle marks, a curve that eorresponds to the interpolation method
Problem 01 (about INTERPOLATION Given the following data Xi Yi 4 -5 (a) Using 2-nd order (or QUADRATIC) "LAGRANGE" interpolation function, compute the value of Y ( @X 4.7) ?? (b) Using 2-nd order (or QUADRATIC) "Newton Divided Difference" interpolation function, compute the coefficients bo, b1 and b2 ??
3) Use Spline interpolation method for smoothing of the given data points. Note you have four points, so you have to find the equations for three functions (one per each pair of points) x = (1,3,4,7) y = [10,3, -4,4)
6. (20) Consider the table X 02 3 y = f(x) 7 11 -4 (a) Fit the given data with a quadratic spline. (b) Find an approximate value of f(3) using the first-degree spline. 6. (20) Consider the table X 0 | 2 | y = f(x) | 7 11 | 3 5 (a) Fit the given data with a quadratic spline. YE (b) Find an approximate value of f (3) using the first-degree spline.
3D Cubic B-Spline Interpolation and Error Estimation Theme: Implement and study 3D Cubic Spline Interpolation Input: a set of points in 3D space (data(x,y,z)) Output: Spline, Spline data points and error, 3D graph that shows the original points and the Spline The major steps involved in the B-Spline Fitting and Error Estimation are as mentioned below: 1- Sample the data points from input data. 2- Interpolate to find the position of control points. 3- Use the B-Spline basis function to...
Problem 2: The following data of the velocity of a body is given as a function of time 24 33 Time (sec) Velocity (m/s) 17 28 0 21 26 223 a. Calculate the velocity in m/s at t= 22 sec using a quadratic polynomial interpolation through linear systems of equations. b. Set up the 9x9 matrix to solve all coefficients through quadratic spline interpolation (the matrix itself is the answer we're looking for, you do not need to solve it)
USING MATLAB
Develop a computer program to perform Cubic spline interpolation. The input for the computer program will be the data points, the point(s) that is (are) required to be interpolated. Test your program by solving part d of the previous problem
Develop a computer program to perform Cubic spline interpolation. The input for the computer program will be the data points, the point(s) that is (are) required to be interpolated. Test your program by solving part d of the...
to the fifth decimal place.
Obtain the interpolation value from the data WS in the attachment at the X value below in the given way. х Y 1 68 1.5 2. 6 41 94 4 5 16 28 5.3 5. 6 23 40 95 6.5 7 10 19 11 1. X=1.23, Linear interpolation 2. X=1.67. Lagrangian interpolation 3. X=3.01, Cubic spline interpolation 4. X=4.68, Linear interpolation 5. X=5.25. Lagrangian interpolation 6. X=5.43, Cubic spline interpolation 7. X=5.88, Linear interpolation 8....