5. (EXTRA CREDIT) Construct a quadratic polynomial p(x)=ar2+bz+c satisfying and p"(1) f"(1) assuming that the following...
Show work by hand and also using MATLAB code. Model 1 Given a polynomial f(x) Write a first-order approximation of f(x), given the value of f(x) at two points Plot the polynomial and the first-order approximation on a graph Write a second-order approximation of f(x), given the value at three points. Plot the polynomial, the first-order and second-order approximations on a graph Find the integral Exactly Using trapezoidal rule Using composite trapezoidal rule Using Simpson's 1/3 rule . Calculate the...
5) Consider the polynomial P() z2-z-1. (a) Find two integers n, m E Z, so that P(x) has a zero in [n, m. (b) Use the bisection method twice to get an approximation to the zero of P(x) in n, m] (c) Use Newton's method twice to get an approximation to the zero of P() in n,m (d) Use the quadratic formula to find the actual zero of P() in [n, m (e) Compute the relative %-error for each of...
Projections and Least Squares 3. Consider the points P (0,0), (1,8),(2,8),(3,20)) in R2, For each of the given function types f(x) below, . Find values for A, B, C that give the least squares fit to the set of points P . Graph your solution along with P (feel free to graph all functions on the same graph). . Compute sum of squares error ((O) -0)2((1) 8)2 (f(2) -8)2+ (f(3) - 20)2 for the least squares fit you found (a)...
(1 point) Construct the first three Fourier approximations to the square wave function (a) F,(z) = F3(x) Using a graphing calculator or computer software, graph the function and the first three Fourier approximations to see how the approximation matches the function f(x) (1 point) Construct the first three Fourier approximations to the square wave function (a) F,(z) = F3(x) Using a graphing calculator or computer software, graph the function and the first three Fourier approximations to see how the approximation...
Consider the following set of data x f(x) 3 6 4 3 5 8 1. Use and order Newton polynomial to find f (4.5). 2. Use and order Lagrange polynomial to find f (4.5). You should get the same answer using both methods they are just different representations of a quadratic (i.e., 2nd order) interpolating polynomial.
8396 5101281 5 8 2 0 1 12 ( 4 2 1 ) ) ) 0000 f-000 0246802 (i) Defining fo-f(zo). Л that the quadratic f(x) and f2 f(x2), where Zo-x1-h and x2-xuth, show 2 , f2 - jo 2h2 2h is the quadratic interpolating function for fo, fı and f2 (i.e. show that p(x)-f) 4] (ii) Use the interpolating polynomial p(x) as defined above, with Zo-12, xỉ-1.4 and 22 -1.6 (and fo, fı and f2 given by the table...
Consider the function f(x) := v/x= x1/2. 6. (a) Give the Taylor polynomial P(x) of degree 5 about a1 of this function (b) Give the nested representation of the polynomial Qs()Ps((t)) where t -1 ((t)+1). (c) Using the nested multiplication method (also called Horner's algorithm), compute the approximation Ps (1.2) to V (give at least 12 significant digits of P(1.2)) (d) Without using the exact value of 12, compute by hand an upper bound on the absolute error V1.2 A(1.21...
Complete all, especially part c and d (a) Glive the second-order Taylor polynomial T2 ( for the function () about a 16. 4+((X-16)/8)-(1/512) (X-16M2 b) Use Taylor's Theorem to give the Error Term E2(-f()T2) as a function of z and some z between 16 and az (((3/8) Z(-5/2)) (X-16) 3)/6 c) Estimate the domain of values z for which the error E2 () is less than 0.01. Enter a value p for which E2 ()I 0.01 for all 16 16+p,...
Dr. Beldi Qiang STATWOB Flotllework #1 1. Let X.,No X~ be a i.İ.d sample form Exp(1), and Y-Σ-x. (a) Use CLT to get a large sample distribution of Y (b) For n 100, give an approximation for P(Y> 100) (c) Let X be the sample mean, then approximate P(.IX <1.2) for n 100. x, from CDF F(r)-1-1/z for 1 e li,00) and ,ero 2Consider a random sample Xi.x, 、 otherwise. (a) Find the limiting distribution of Xim the smallest order...
Consider the following function. /(x)=x-5, a= 1, n= 2, 0.8SXS 1.2 (a) Approximate f by a Taylor polynomial with degree n at the number a T2(x) = (b) Use Taylor's Inequality to estimate the accuracy of the approximation x) ~ Tn(x) when x lies in the given interval. (Round your answer to six decimal places.) (c) Check your result in part (b) by graphing Rn(x) 0.6 0.4 0.2 0.6 0.4 0.2 0.9 0.9 1.2 -0.2 -0.4 -0.6 -0.2 -0.4 -0.6...