How do I write this algorithm, I dont understand it and I am stuck.

1 次查看(过去 30 天)
Ax = b and S is a surrogate smoother
  1 个评论
dpb
dpb 2023-4-14
Has to be more context; S, A and b are undefined above...they must come from supporting text prior to the above...

请先登录,再进行评论。

采纳的回答

Gokul Nath S J
Gokul Nath S J 2023-4-20
Hi Nathan,
Based on your query, it seems that you would like to implement the algorithm. I can share the general workflow considering some contraints.
The following variables are assumed to be predefined. ()
Considering this constraints,
Step 1: Initialize the variables .
Step 2: Start the for loop from the starting value of k = 1
Step 3: Inside the loop update the value of for the iteration to continue in the next round.
Step 4: Once the loop termination condition occur, update the final value to x and return it.
A reduced code is attached below considering the constraints mentioned in the step 1.
function xk = ChebyshevSmoother(lambda_max, lambda_min, S, A, x, b, chebyshevOrder)
theta = 0.5*(lambda_max+lambda_min);
delta = 0.5*(lambda_max-lambda_min);
sigma = theta/delta;
rho = 1/sigma;
r = S*(b-A*x);
dk = r/theta;
xk = 0;
for k = 1:chebyshevOrder
xk = xk + dk;
r = r - S*A*dk;
rho_kplusone = 1/(2*sigma-rho);
dk = rho_kplusone*rho*dk + 2*rho_kplusone*r/delta+1;
rho = rho_kplusone;
end
xk = xk +dk;
end
Thanks,
Gokul Nath S J

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Word games 的更多信息

产品


版本

R2023a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by