Assuming that the first spline is linear in quadratic spline interpolation, the number of unknowns in...
The following y vs. x data is given x y 1 2.25|3.7 15.1 4.256 13.7 15.1 The data is fit by a quadratic spline given by ( 2.85 + 1.4x, 1< x < 2.25 f(x) = { cx? + dx +e, 2.25 < x < 3.7 (fx2 + gx + h, 3.7 < x < 5.1 The value of d most nearly is
Sin Antio 4:34% Problem 4: (20 points) The data is fit by quadratic spline interpolation given by a) Obtain the coefficients b and e. (15 points) b) Determinefx) (10 points)
A wind tunnel test conducted on an airfoil section yielded the following data between the lift coefficient (CL) and the angle of attack (?): 12 1.40 16 1.71 20 1.38 de CL 0.11 0.55 0.95 You are required to develop a suitable polynomial relationship between ? and CL and fit a curve to the data points by the least-squares method using (a) hand calculations and (b) Matlab programming Hint: A quadratic equation (parabola) y(x)-aa,x +a x' can be used in...
An engineering company is designing and testing a car suspension system. The system has a conventional suspension design, consisting of a shock-absorber and spring at each wheel. The shock-absorber provides a damping effect that is proportional to the vertical speed (i.e. up and down motion) of the wheel, and the spring's resistance is proportional to the vertical displacement of the wheel.The design team analyses the suspension system in two separate parts: Part 1 - dynamics of the spring-damper system; Part 2...