Number 9 requires number 8 so please can you answer both? Thanks. Here's more context:
There are also approximations of higher order derivatives that can be computed using only values ...
Use forward and backward difference approximations of O(h) and a centered difference approximation of O(h2) to estimate the first derivative of the following function:f(x)=25x³-6x²+7x-88Evaluate the derivative at x=2 using a step size of h=0.25. Compare your results with the true value of the derivative. Interpret your results on the basis of the remainder term of the Taylor series expansion.
4. Given a function f(x), use Taylor approximations to derive a second order one-sided ap- proximation to f'(ro) is given by f(zo + h) + cf (zo + 21) + 0(h2). f' (zo) = af(xo) + What is the precise form of the error term? Using the formula approximate f' (1) where r) = e* for h 1/(2p) for p = 1 : 15, Form a table with columns giving h, the approximation, absolute error and absolute error divided by...
The nth-order Taylor polynomial for a function f(x) using the h notation is given as: Pa (x + h) = f(x) + f'(a)h + salt) 12 + () +...+ m (s) n." The remainder of the above nth-order Taylor polynomial is defined as: R( +h) = f(n+1)(C) +1 " hn+1, where c is in between x and c+h (n+1)! A student is using 4 terms in the Taylor series of f(x) = 1/x to approximate f(0.7) around x = 1....
For the following set of data, calculate the derivative using the higher order finite-difference approximations for each data point, as shown in Figures 21.43-21.5. Round your answers to 2 decimal places, if needed. 0 0.5 1.0 1.5 2.0 2.5 X f(x) 33 72 80 10 25 58 Using the forward finite-difference approximation: f'(0) ~ f'(0.5) Using the centered finite-difference approximation: f'(1.0) f'(1.5) Using the backward finite-difference approximation: f'(2.0) f'(2.5) 은 8
Derive the following numerical approximation to the second derivative of f(x) using Taylor's series. Show all of your steps and derive also the order of accuracy of this approximation in terms of h. - f(x + 2h) + 16f(x + h) – 30f(x) + 16 f(x – h) – f(x – 2h) 12h2 1 (C)
the question is from my Numerical methods and analysis course et /()-sin(), where is measured in radians. (a). Calculate approximations to ) using Theorem 6.1 with h-0.1, h-0.01 and h-0.001, Carry eight or nine decimal places. (b). Compare with the value /(0.8)-cos(08), i.e. calculating the error of approximation. s(0.8) Theorem 6.1 (Centered Formula of Order 0(h)). Assume that fe Cla, bl and that x -h. x, x + h e la, bl. Then The notation S) stands for the set...
(e) Consider the Runge-Kutta method in solving the following first order ODE: dy First, using Taylor series expansion, we have the following approximation of y evaluated at the time step n+1 as a function of y at the time step n: where h is the size of the time step. The fourth order Runge-Kutta method assumes the following form where the following approximations can be made at various iterations: )sh+รู้: ,f(t.ta, ),. Note that the first term is evaluated at...
dont ans this question Euler's method is based on the fact that the tangent line gives a good local approximation for the function. But why restrict ourselves to linear approximants when higher degree polynomial approximants are available? For example, we can use the Taylor polynomial of degree about = No, which is defined by P.(x) = y(x) + y (xo)(x – Xa) + 21 (x- This polynomial is the nth partial sum of the Taylor series representation (te) (x –...
Exercise 6: Given the table of the function f(x)-2" 2 X 0 3 2 f(x) 1 2 4 8 a) Write down the Newton polynomials P1(x), P2(x), Pa(x). b) Evaluate f(2.5) by using Pa(x). c) Obtain a bound for the errors E1(x), E2(x), Es(x) Exercise 7: Consider f(x)- In(x) use the following formula to answer the given questions '(x) +16-30f+16f,- 12h a) Derive the numerical differentiation formula using Taylor Series and find the truncation error b) Approximate f'(1.2) with h-0.05...
Exercise 1: The Taylor series for In(y) about y = 1 is (4) In(y) = 9 (-1)"+(v - 1) n=1 for y-1€ (-1,1] (that is, y E (0,2]). What polynomials do we get if we truncate this series at n = 1? n = 2? n = 0 (hint: the n = Oth approximation is defined!)? Compare the value of each of these with that of In(y) at y = 1.1 and y = 1.75. Note how the error differs...