Translate the following code to java with comments
x0 = 1 # The initial guess
f(x) = x^2 - 2 # The function whose root we are trying to find
fprime(x) = 2 * x # The derivative of the function
tolerance = 10^(-7) # 7 digit accuracy is desired
epsilon = 10^(-14) # Do not divide by a number smaller than this
maxIterations = 20 # Do not allow the iterations to continue indefinitely
solutionFound = false # Have not converged to a solution yet
for i = 1:maxIterations
y = f(x0)
yprime = fprime(x0)
if abs(yprime) < epsilon # Stop if the denominator is too small
break
end
global x1 = x0 - y/yprime # Do Newton's computation
if abs(x1 - x0) <= tolerance # Stop when the result is within the desired tolerance
global solutionFound = true
break
end
global x0 = x1 # Update x0 to start the process again
end
if solutionFound
println("Solution: ", x1) # x1 is a solution within tolerance and maximum number of iterations
else
println("Did not converge") # Newton's method did not converge
end`Hey,
Note: Brother if you have any queries related the answer please do comment. I would be very happy to resolve all your queries.
public class HelloWorld{
public static double f(double x)
{
return x*x-2.0;
}
public static double fprime(double x)
{
return x*2.0;
}
public static void main(String []args){
double x0 = 1; //The initial guess
double tolerance = 1e-7; // 7 digit accuracy is desired
double epsilon = 1e-14; // Do not divide by a number smaller than
this
int maxIterations = 20; // Do not allow the iterations to continue
indefinitely
boolean solutionFound = false; // Have not converged to a solution
yet
double x1=x0;
for(int i=1;i<=maxIterations;i++)
{
double y=f(x0);
double yprime = fprime(x0);
if(Math.abs(yprime) < epsilon)
{
break;
}
x1 = x0 - y/yprime;
if(Math.abs(x1 - x0) <= tolerance) // Stop when the result is
within the desired tolerance
{
solutionFound = true;
break;
}
x0 = x1;
}
if(solutionFound)
{
System.out.println("Solution: "+x1); // x1 is a solution within
tolerance and
}
else
System.out.println("Did not converge"); // Newton's method did not
converge
}
}

Kindly revert for any queries
Thanks.
Translate the following code to java with comments x0 = 1 # The initial guess f(x)...
in
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can some one edit this code
p(1)=0.4
p(2)=0.5
e=0.00001
*secant metod
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This is the code I currently have but is not working
fun = @(x) x.^2-2;
x1 = 0;
x2 = 1;
tol = 0.0001;
kmax = 100;
function [x, y] = Muller(fun, x1, x2, tol, kmax)
x(1) = x1;
x(2) = x2;
x(3) = (x(2)+x(1))/2;
y(1) = feval(fun, x1);
y(2) = feval(fun, x2);
y(3) = feval(fun, x(3));
c(1) = (y(2)-y(1))/(x(2)-x(1));
for k = 3 : kmax
c(k-1) = (y(k)-y(k-1))/(x(k)-x(k-1));
d(k-2)...
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
Matlab Regula Falsi Method
A zero of f(x) = x^2 -4x-12.2 is known to exist on the interval
[1.2 , 2.2 , 3.2,...9.2] and respective right endpoints x1 =[2.2
,3.2, 4.2....10.2], find the sub-interval in which the zero exists.
Set the left endpoint of this sub-interval =a and the right
endpoint=b
With tolerance of 10^-9, use the Regular Falsi method to compute
the root of (f) in [a,b]
User input is required at #####
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