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1. (30 points) Write a MATLAB code to perform the Secant method of root finding. Write...
Write a matlab program to implement the secant root finding method in matlab. The function name should be Secant and it should take the equation as input whoes root has to be found and the two initial values of a and b and maximum tolerable error. Consider the following example: Your code should generate the following: >> secantAssg5(@(x)(x^4+x^2+x+10),2,3,0.0001) Xn-1 f(Xn-1) Xn f(Xn) Xn+1 f(Xn+1) 2.0000 32.0000 3.0000 103.0000 1.5493 19.7111 ….. ….. ….. Root is x = 0.13952 ans...
Task 2 (25 points + 4 points for commenting): Write computer code to perform the Fixed.Point method and use your code to find the root of the following equation using an initial guess of 3 and a stopping criterion of 0.001%; f(x) e -4x For Fixed-Point, you do not have to code Matlab to take the derivatives of the function and check the g'(x). You can do that step by hand, and then show me your hand cal ulations to...
Write a MATLAB code employing Secant method and for loop to calculate the root for the following function: f=x6-x-1Use 7 iterations with initial guesses x0 = 2 and x1 = 1
Please code in MatLab or Octave Output should match Sample Output in Second Picture Thank you 5. In this problem we will investigate using the Secant Method to approximate a root of a function f(r). The Secant Method is an iterative approach that begins with initial guesses , and r2. Then, for n > 3, the Secant Method generates approximations of a root of f(z) as In-1-In-2 n=En-1-f (x,-1) f(Fn-1)-f(-2) any iteration, the absolute error in the approximation can be...
find the root(s) of the following functions using both Newton's method and the secant method, using tol = eps. 3 Find the root s of the following functions using both Newton's ulethod and the anat inethod using tol epa. . You will vood to experiment with the parameters po, pl, ad maxits. . For each root, visualize the iteration history of both methods by plotting the albsolute errors, as a function . Label the two curves (Newton's method and secaut...
using matlab code please 5.2 Determine the real root of f(x) = 5x? - 5x2 + 6x-2: a. Graphically. b. Using bisection to locate the root. Employ initial guesses of x= 0 and xy = 1 and iterate until the estimated error &, falls below a level of Es = 10%.
6.5 Employ the Newton-Raphson method to determine a real root for 4x20.5 using initial guesses of (a) 4.52 f(x) 15.5x Pick the best numerical technique, justify your choice and then use that technique to determine the root. Note that it is known that for positive initial guesses, all techniques except fixed-point iteration will eventually converge. Perform iterations until the approximate relative error falls below 2 %. If you use a bracket- ing method, use initial guesses of x 0 and...
1. 10 points Find the positive solution of the equation cosx=0.3x (ie. the positive root of cosx-03x=0) using the bisection method with [0, 2] chosen as the initial interval. (a) Perform the first 3 iterations by hand and calculate the relative error for the last iteration; (b) Write a MATLAB code to find the root. The solution will be considered satisfactory if its relative error is smaller than 1%. Plot the relative error vs the number of iterations (must be...
Problem 1 (Matlab): One of the most fundamental root finding algorithms is Newton's Method. Given a real-valued, differentiable function f, Newton's method is given by 1. Initialization: Pick a point xo which is near the root of f Iteratively define points rn+1 for n = 0,1,2,..., by 2. Iteration: f(xn) nt1 In 3. Termination: Stop when some stopping criterion occurs said in the literature). For the purposes of this problem, the stopping criterion will be 100 iterations (This sounds vague,...
Write a Matlab function for: 1. Root Finding: Calculate the root of the equation f(x)=x^3 −5x^2 +3x−7 Calculate the accuracy of the solution to 1 × 10−10. Find the number of iterations required to achieve this accuracy. Compute the root of the equation with the bisection method. Your program should output the following lines: • Bisection Method: Method converged to root X after Y iterations with a relative error of Z.