
![HY,-,- €72.,21 t(x, yay izs] = -0.85242+0.2733502 --- =-0.827242574 + [mxong, tus] = P14,-11,9,1 -0.4061655 +0.85242 -..= 0.7](http://img.homeworklib.com/questions/ae270340-388c-11eb-810a-8d0c13696234.png?x-oss-process=image/resize,w_560)

Complete the Divided difference table and construct the interpolating polynomial that uses the data given in...
For an nth-order Newton's divided difference interpolating polynomial fn(x), the error of interpolation can be estimated by Rn-| g(xmPX, , xm» ,&J . (x-x-Xx-x.) . . . (x-x.) | , where (xo, f(xo)), (xi, fx)).., (Xn-1, f(xn-1) are data points; g[x-,x,,x-.., x,] is the (n+1)-th finite divided difference. To minimize Rn, if there are more than n+1 data points available for calculating fn(x) using the nth-order Newton's interpolating polynomial, n+1 data points (Xo, f(xo)), (x1, f(x)), , (in, f(%)) should...
Compute, using divided differences, the value of the piecewise
cubic Her-
mite interpolating polynomial at x = 11=10 given nodes at xi = i,
for i = 1; : : : ; 10,
and values and derivatives at the nodes from the function f(x) =
1=x.
Remember iterative formula for divided differences:
2. (25 pts) Compute, using divided differences, the value of the piecewise cubic Her mite interpolating polynomial at x-11/10 given nodes at ai-i, for i-1, , 10. and...
6. (25 pts) Find the osculating polynomial, P, interpolating the following table of data, and evaluate P(1): -1 2 f(x) f'(x -4 2 1 5 -4 f"(x) -12
6. (25 pts) Find the osculating polynomial, P, interpolating the following table of data, and evaluate P(1): -1 2 f(x) f'(x -4 2 1 5 -4 f"(x) -12
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...
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...
or the following two data sets, construct a divided difference table. What conclusions can you make about the data? Would you use a low-order polynomial as an empirical model? If so, what order? DATA SET 1. x 0 1 2 3 4 5 6 7 y 2 8 24 56 110 192 308 464 DATA SET 2. x 0 1 2 3 4 5 6 7 y 1 4.5 20 90 403 1808 8103 36316
U L e y aur ASIEN U Newtons Divided Difference Interpolation Question 2 Newtons Divided Engineering Math | Assignment Question 2. P Flag question Given the following data points, find the Newton's divided difference interpolating polynomial 2112 f(0) 211 Question 2.a. Tries remaining 2 What is the degree of the Newton's divided difference interpolating polynomial? Ans: (Integer input) Marked out of 4.00 Check P Flag question Question 2b. Tries remaining 2 asp/b, fraction should be in its simplest form) Fill...
12. Given the data set: We want to find the interpolating polynomial of degree 2 through these points. a) Write the interpolating polynomial in Lagrange form b) Write the interpolating polynomial in Newton form.
Given the data points (-3,5),(-2,5),(-1,3), (0, 1) (a) Find the interpolating polynomial passing through these points. (b) Using your polynomial from (a), evaluate P(1). (c) This polynomial interpolates the function f(x) = 24. Find an upper bound for the approximation in part (b).