Convergence of two-stage iterative scheme for $K$-weak regular splittings of type II with application to Covid-19 pandemic model
Vaibhav Shekhar, Nachiketa Mishra, and Debasisha Mishra

TL;DR
This paper develops a convergence theory for two-stage iterative schemes involving $K$-weak regular splittings of type II within proper cone settings, with applications to Covid-19 pandemic modeling and numerical computations.
Contribution
It introduces new convergence results for two-stage iterative schemes with $K$-weak regular splittings of type II, filling a gap in the proper cone setting and applying to pandemic models.
Findings
Established sufficient conditions for $K$-regular splittings from two-stage schemes.
Proved comparison theorems for convergence behavior.
Applied the theory to compute the next generation matrix in Covid-19 models.
Abstract
Monotone matrices play a key role in the convergence theory of regular splittings and different types of weak regular splittings. If monotonicity fails, then it is difficult to guarantee the convergence of the above-mentioned classes of matrices. In such a case, -monotonicity is sufficient for the convergence of -regular and -weak regular splittings, where is a proper cone in . However, the convergence theory of a two-stage iteration scheme in general proper cone setting is a gap in the literature. Especially, the same study for weak regular splittings of type II (even if in standard proper cone setting, i.e., ), is open. To this end, we propose convergence theory of two-stage iterative scheme for -weak regular splittings of both types in the proper cone setting. We provide some sufficient conditions which guarantee that the induced…
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Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Matrix Theory and Algorithms
