***Please code in Python
Write another code Newton (in double precision)
implementing the Newton-Raphson Method
(copy your Bisect code and modify).
Evaluation of F(x) and F'(x) should be done in a
subprogram FCN(x).
The code should ask for input of: x0, TOL, maxIT
(and should print output similar to Bisect code).
Debug on a simple problem, like x2−3 = 0.
Then use it to find root of F(x) in [1,2] with
TOL=1.e-12.
Now consider the problem of finding zeros of
...
Let . If we use Accelerated Newton-Raphson method to approximate
the root of the equation , which of the following(s) is/are
ture:
(I) is multiple root of order
(II) Accelerated Newton-Raphson formula is :
(III) The sequence obtained by the Accelerated
Newton-Raphson method converge to the
root quadratically.
Consider the Newton-Raphson method for finding root of a
nonlinear function
??+1=??−?(??)?′(??), ?≥0.
a) Prove that if ? is simple zero of ?(?), then the N-R iteration
has quadratic convergence.
b) Prove that if ? is zero of multiplicity ? , then the N-R
iteration has only linear convergence.
Implement in MATLAB the Newton-Raphson method to find the roots
of the following functions.
(a) f(x) = x 3 + 3x 2 – 5x + 2
(b) f(x) = x2 – exp(0.5x)
Define these functions and their derivatives using the @ symbol.
For example, the function of part (a) should be f=@(x)x^3 + 3*x.^2
- 5*x + 2, and its derivative should be f_prime=@(x)3*x.^2 + 6*x -
5.
For each function, use three initial values for x (choose
between -10...
How do the Gauss-Seidel, Newton-Raphson, and
Fast-Decoupled-Newton-Raphson iteration methods differ from task
layout, iteration terminations, and
from the point of convergence?
What does the Gauss-Seidel method acceleration factor means, how
does it affect the calculation?
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
calculate the molar volume of hydrogen gas using the
newton-raphson method 40 atm and 300 K
R=0.08206 dm3 atm K-1
for Hydrogen Van der Waals constants a=0.244 dm6 atm
mol-2 ,b=0.0266 dm3
mol-1
Determine the roots of the following simultaneous nonlinear
equations using multiple-equation Newton Raphson method. Carry out
two iterations with initial guesses of
x1(0)
=0.6 and
x2(0)
=1.2. Calculate the approximate relative error
εa in each iteration by using maximum
magnitude norm (║x║∞).
x1 + 1 - x22 = 0
x12 + x22 – 5 =
0
Write a C++ program for all the methods (Bisection,
Newton-Raphson, Secant, False-Position, and Modified Secant) for
locating roots. Make sure that you have clever checks in your
program to be warned and stop if you have a divergent solution or
stop if the solution is very slowly convergent after a maximum
number of iterations.