Find the difference table and the quartic Newton polynomial when 4 of the points Xi = X0, l = 0, l , 2, 3 .X4メ, coinci...
Let (xi , f(xi)), i = 0, . . . , 3, be data points, where xi = i + 2, for i = 0, . . . , 3. Given the divided differences f[x0] = 1, f[x0, x1] = 2, f[x0, x1, x2] = −7, f[x0, x1, x2, x3] = 9, add the data point (0, 3), find a Newton form for the Lagrange polynomial interpolating all 5 data points. 3. (25 pts) Let (r,, f()), 0,3, be data...
-2 -1 0 1 2 Wi 23 40 by using the divided 2. Find the Newton polynomial that passes the points difference table.
Given y = 3x2 – 4 when x0 =2 and dx =3 Please find (1) difference quotient, (2) the derivative, and (3) the actual differential, and (4) THE APPROXIMATE DIFFERENTIAL
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...
4. For the following table, answer the questions. (1) Find the cubic Newton’s interpolating polynomial using the first four data points and estimate the function value at x=2.5 with the interpolating polynomial. (2) Find the quartic Newton’s interpolating polynomial using the five data points and estimate the function value at x=2.5 with the interpolating polynomial. (3) Find the bases functions of Lagrange interpolation, Li(x) (i=1,2,…,5), and estimate the function value at x=2.5 with the Lagrange interpolating polynomial. 3 5 1...
2. Compute the linear Taylor polynomial for the function exp (x + x4 f (x) at a = 0 and give a reasonable estimate for the error for l 0.01. 2. Compute the linear Taylor polynomial for the function exp (x + x4 f (x) at a = 0 and give a reasonable estimate for the error for l 0.01.
4. Consider the following matrix [1 0 -27 A=000 L-2 0 4] (a) (3 points) Find the characteristic polynomial of A. (b) (4 points) Find the eigenvalues of A. Give the algebraic multiplicity of each eigenvalue (c) (8 points) Find the eigenvectors corresponding to the eigenvalues found in part (b). (d) (4 points) Give a diagonal matrix D and an invertible matrix P such that A = PDP-1 (e) (6 points) Compute P-and verify that A= PDP- (show your steps).
Consider the following table of data points: Using least squares fitting, find the polynomial Q(x) of degree 2 that fits the data points given in the table above. Approximate f(0.3) using Q(0.3). Use P(x) = Ax2+Bx +C to find 3 equations and then find A,B,C. f(x) i Xi 0 0.000 1.00000 1 0.125 0.98450 2 0.250 0.93941 0.375 0.86882 4 0.500 0.77880 5 0.625 0.67663 6 0.750 0.56978 0.875 0.46504 8 1.000 0.36788
Complete the Divided difference table and construct the interpolating polynomial that uses the data given in column 2 and column 3. f [x j-1, xi] f [x 1-2, X j-1, x ] f [x i-. ......, xi] f [x 14......., xi] i xi f[xi] 01.00.7751866 | 1 | 1.20.5900775 21.70.4534024 31. 90.2829184 4 2.3 0.1204522
Consider the following table of data points: Using least squares fitting, find the polynomial Q(x) of degree 2 that fits the data points given in the table above. Approximate f(0.3) using Q(0.3). f(x) i Xi 0 0.000 1.00000 1 0.125 0.98450 2 0.250 0.93941 0.375 0.86882 4 0.500 0.77880 5 0.625 0.67663 6 0.750 0.56978 0.875 0.46504 8 1.000 0.36788 f(x) i Xi 0 0.000 1.00000 1 0.125 0.98450 2 0.250 0.93941 0.375 0.86882 4 0.500 0.77880 5 0.625 0.67663...