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A convergence criterion and error measure are proposed.
A convergence criterion for choosing the component basis is derived.
An error dynamics analysis yields a convergence criterion coupled with a simple tuning guideline.
Unfortunately, it seems that no convergence criterion was clearly defined in the literature.
The cycle is repeated until the error metric satisfies a preset convergence criterion.
The two steps of the model calibration formulation are repeated until the convergence criterion is met.
A rigorous study of the convergence criterion and rate is also presented for our method.
Some numerical tests confirming the effectiveness of the convergence criterion are presented.
A convergence criterion is presented and accuracy is not sacrificed over gain in computational performance.
Path convergence criterion.
ε convergence criterion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com