
Interpolation with Systems of Linear Equations. An object is initially attached to a spring. Then, the object is allowed to reach an equilibrium position, in which it remains static. After inducing a perturbation, the position of the object changes with respect to time, as shown in the following table. Problem 4.1. Use MATLAB to determine the position of the object when t=18 s. Consider a 2nd -order interpolating polynomial and the method of linear equations. Then, show in a single plot an overlay of the raw data, the interpolating polynomial covering the full range of times, and the estimated position at t=18 s. Problem 4.2. Use MATLAB to determine the position of the object when t=18 s. Consider a 3rd -order interpolating polynomial and the method of linear equations. Then, show in a single plot an overlay of the raw data, the interpolating polynomial covering the full range of times, and the estimated position at t=18 s. Problem 4.3. Use MATLAB to determine the position of the object when t=18 s. Consider a 7th -order interpolating polynomial and the method of linear equations. Then, show in a single plot an overlay of the raw data, the interpolating polynomial covering the full range of times, and the estimated position at t=18 s. Problem 4.4. Calculate the true percentage errors of the estimates generated in problems 4a,4 b, and 4c, if the true position of the object is P=0.15 cm at t=18 s.