Is there a way to compute average norm after a series of trials?
2 次查看(过去 30 天)
显示 更早的评论
Suppose I have a matrix and I am solving a least-square problem using QR using my own algorithm.
A and b are both generated randomly.
Is there a way to run this least square algorithm several time and at each run the norm is computed and finally the average of all these norms is taken?
0 个评论
采纳的回答
Ben McMahon
2021-7-12
I am a bit confused by your question, as x is not defined. If you want to run your algorithim for a set number of randomly generated matrices and vectors then something similar to the code below should work:
numIterations = 10; % Number of random samples of your matrix / vector combo you want to compute
for Iteration = 1:numIterations
A = rand(100,100);
b = rand(100,1);
x = myLeastSquareAlgo(A,b); % Your algorithim function that calculates 'x'.
normArray(Iteration) = norm(b-A*x);
end
meanNorm = mean(normArray);
更多回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!