Let the result of an iterative process be a vector. The solution may be reached by the Irons-Tuck version of the Aitken's delta-square process. Since the original algorithm may suffer by a numerical instability, it can be stabilized by employing a built-in weighing function fw depending on the current order of iteration.
A problem of finding maximum eigenvalue of the Hilbert matrix by the power method is implemented by the script demoAitkd2.
Miroslav Balda (2023). Vector Aitken's delta-square accelerator (https://www.mathworks.com/matlabcentral/fileexchange/11584-vector-aitken-s-delta-square-accelerator), MATLAB Central File Exchange. Retrieved .
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