Question 3 ( 14 Points) (a). Use the numbers (called nodes) Xo = 2.0, x1 =...
(a). Use the numbers (called nodes) Xo = 2.0, x1 = 2.4, and x2 = 2.6 to find the second Lagrange interpolating polynomial for f(x) = sin(In x). Using 4-digit rounding arithmatic. (b). Use this polynomial to approximate f(1). Using 4-digit rounding arithmatic.
(1) Use the Bisection method to find solutions accurate to within 10-2 for x3 – 7x2 + 14x – 6 = 0 on the interval [3.2, 4]. Using 4-digit rounding arithmatic. (2) Consider the function f(x) = cos X – X. (a). Approximate a root of f(x) using Fixed- point method accurate to within 10-2 . (b). Approximate a root of f(x) using Newton's method accurate to within 10-2. Find the second Taylor polynomial P2(x) for the function f(x) =...
Question 4 (16 Points) Use Neville's method to approximate V11 with the following function and values. Use this polynomial to approximate f(11). Using 4-digit rounding arithmatic. (a). f(x) = (x and the values Xo = 6, xı = 8, x2 = 10, x3 = 12 and X4 = 13. (b). Compare the accuracy of the approximation in parts (a).
Question 1 (20 Points) Find the second Taylor polynomial P2(x) for the function f(x) = ex cos x about Xo = 0. Using 4-digit rounding arithmatic. (a). Use P2(0.7) to approximate f(0.7). (b). Find the actual error. (c). Find a bound for the error f(x) - P2(x) in using P2(x) to approximate f(x) on the interval [0, 1].
Find the second Taylor polynomial P2(x) for the function f(x) = ex cos x about xo = 0. Using 4-digit rounding arithmatic. (a). Use P2(0.7) to approximate f(0.7). (b). Find the actual error. (c). Find a bound for the error |f(x) – P2(x) in using P2(x) to approximate f(x) on the interval [0, 1].
2019-Numerical Analysis- Quiz-2 1. Let f()-( (a) Use quadratic Lagrange interpolation based on the nodes xo 1, x 2, (given e 2.7183, e 7.3891, e 12.1825) f(1.2). a and x 2.5 to approximate f (1.5) and (b) Use cubic Lagrange interpolation based on the nodes xo=0.5, x1 =1, x2 = 2 and x, = 2.5 to approximate f(1.5) and f(12) 2019-Numerical Analysis- Quiz-2 1. Let f()-( (a) Use quadratic Lagrange interpolation based on the nodes xo 1, x 2, (given...
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...
Question 2 (20 Points) (1) Use the Bisection method to find solutions accurate to within 10-2 for x3 - 7x2 + 14x - 6 = 0 on the interval [3.2, 4]. Using 4-digit rounding arithmatic. (2) Consider the function f(x) = cos x - x. (a). Approximate a root of f(x) using Fixed-point method accurate to within 10-2 (b). Approximate a root of f(x) using Newton's method accurate to within 10-2.
3. (30 points) Let f(x) = 1/x and data points Zo = 2, x,-3 and x2 = 4. Note that you can use the abscissae to find the corresponding ordinates (a) (8 points) Find by hand the Lagrange form, the standard form, and the Newton form of the interpolating polynomial p2(x) of f(x) at the given points. State which is which! Then, expand out the Newton and Lagrange form to verify that they agree with the standard form of p2...
Q6 (4+3+3+ 6=16 marks) Let Xo, X1, X2 be three distinct real numbers. For polynomials p(x) and q(x), define < p(x),q(x) >= p(xo)q(x0) + p(x1)q(x1) + p(x2)q(22). Let p(n) denote the vector space of all polynomials with degree more no than n. (i) Show that < .. > is an inner product in P(2). (ii) Is < ... > an inner product in P(3)? Explain why. (iii) Is <,:> an inner product in P(1)? Explain why. (iv) Consider Xo =...