Take one step of Newton’s method to approximate a solution to
the complex equation z ^5...
Take one step of Newton’s method to approximate a solution to
the complex equation z ^5 − 1 = 0, with z0 = i. Simplify your
result to identify the real and imaginary parts of your
approximation. What is the nearest actual root?
Apply Newton’s method and the modified method to the equation
f(x) = 1−cos(x−5) to approximate the a double root 5. Compare the
results and demonstrate the superiority of the modified method.
Numerically identify the rates of convergence of both the
methods.
Use Euler's Method with step size 0.11 to approximate y (0.55)
for the solution of the initial value problem
y ′ = x − y, and y (0)= 1.2
What is y (0.55)? (Keep four decimal places.)
Plot the Trapezoid Method approximate solution on [0,1] for the
differential equation y = 1 + y2 and initial condition (a) y0 = 0
(b) y0 = 1, along with the exact solution (see Exercise 6.1.7). Use
step sizes h = 0.1 and 0.05 (Code In Matlab)
Plot the Euler’s Method approximate solution on [0,1] for the
differential equation
y* = 1 + y^2 and initial condition (a) y0 = 0 (b) y0 = 1, along
with the exact solution (see
Exercise 7). Use step sizes h = 0.1 and 0.05. The exact solution is
y = tan(t + c)
Use eulers Method with step size h=.01 to approximate the
solution to the initial value problem y'=2x-y^2, y(6)=0 at the
points x=6.1, 6.2, 6.3, 6.4, 6.5
Is F = μsN an exact equation or an empirical/approximate model?
Is it possible to take into account the fundamental interactions?
Include reasons for your answer.
Write one a MATLAB function that implements the Bisection
method, Newton’s method and Secant Method (all in one function).
Your function must have the following signature
function output = solve(f,options)
% your code here
end
where
the input is
• f: the function in f(x) =0.
options: is a struct type with the following fields o method:
bisection, newton or secant
tol: the tolerance for stopping the iterations.
maximum_iterations: the maximum number of iterations
allowed.
initial_guess: that is P_0; if...
Using Newton-Raphson method, find the complex root of the
function f(z) = z 2 + z + 1 with with an accuracy of 10–6. Let z0 =
1 − i. write program c++ or matlab