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Problem 1 Use the trapezoidal rule technique to approximate the following integrals: a) 「(x2+1)d...
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...
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
I need help with parts A B D E and F. Please show hand work for solving A and B while D and E should be matlab codes. How do i pick the right graph for part F? 5 2 4 6 Linear spline: s fi+ (x-x) 2) Given the points 40 78 125 256 348 425 X1-x a) Write the correct linear spline equation to interpolate for x 4.72, simplifying where appropriate to get to the slope-intercept form. (4...
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...
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)
1. Runge's function is written as f(x) = 1 25r2 (a) Develop a plot of this function for the interval from x =-1 to 1 using Matlab (no submission required). Develop the fourth-order Lagrange interpolating polynomial using equispaced function values corresponding to xi =-1,-0.5, 0, 0.5, and 1. (Note that you first need to determine the (a. ) pairs.) Use the polynomial to estimate f(0.9). (b) What is et? (c) Generate a cubic spline using the five data points from...
Consider the following data table: 0 2i = 0.2 0.4 f(xi) = 2 2.018 2.104 2.306 0.6 0.2 and 23=0.4 is The linear Lagrange interpolator L1,1 (2) used to linearly interpolate between data points 12 (Chop after 2 decimal places) None of the above. -2.50x+0.20 -5.00x+2.00 -5.00x+2.00 5.00x-1.00 Consider the following data table: 2 Ti = 0 0.2 0.4 0.6 f(x) = 2.018 2.104 2.306 0.2 and 23 = 0.4, the value obtained at 2=0.3 is Using Lagrange linear interpolation...
Consider the function f(x) 1 25x which is used to test various interpolation methods. For the remainder of this problem consider only the interval [-1, 1] The x-values for the knots (or base-points) of the interpolation algorithm are located at x--1,-0.75, -0.5, -0.25, 0, 0.25, 0.5, 0.75 1. (a) Create a "single" figure in Matlab that contains 6 subplots (2x3) and is labelled as figure (777), i.e the figure number is 777. Plot in each subplot the function f(x) using...
1. A player hits a baseball into the air. A motion detector is used to gather data about the height of the ball. The resulting data is recorded in the table. Find the finite differences. Decide whether the data can be modelled by a linear, a quadratic, a cubic, or a quartic function. Then use the appropriate regression to determine the algebraic model for the data. DATA TABLE Height (m) First Differences Second Differences Third Differences Time (s) 0 Fourth...
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...