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We analyse this method and prove global convergence.
To solve the discretized nonlinear system, we design an iterative method and prove that the method is convergent.
Results show the applicability of the design method and prove the suitability of RPBs for highly flexible distillation processes.
A numerical example and an engineering example are carried out to verify this method and prove the applicability.
We briefly investigate the convergence of the method and prove its ability to model complex free-surface and turbulent flows.
We introduce the classic source iteration method, compare it with the new splitting method and prove the splitting method has superior convergence properties.
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The concept of a unique invariant common prior is used to regularize the estimation method, and proven to converge using the Method of Successive Averages.
In summary, the comparison study shows the potential of this recent optimization method, and proves its robustness and effectiveness in solving the ORPD problem.
Osher et al. proposed a Bregman iterative regularization denoising method and proved the convergence [5].
The method was further compared with a reported UV method and proved to be more sensitive and selective.
Recently, Zhang et al. [7] proposed a descent modified PRP conjugate gradient method and proved its global convergence.
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