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It models the occurrence of FAR events as a Poisson process with parameter λ FAR with a theoretical justification based on a shrinking Bernoulli process [13].
The model for LFP is based on a shrinking core model along with moving boundary and then integrated into NMC model.
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Three porosity regimes were assumed for the calculation of SAXS areas; they were based on (a) constant density (shrinking core), (b) constant diameter, and (c) an observed (with a TEM) diameter variation.
The main aim of this paper is to propose an iterative algorithm based on the shrinking projection method to find an element for solving a class of split generalized equilibrium problems and fixed point problems for a countable family of nonexpansive multivalued mappings in real Hilbert spaces.
In this paper, we first introduce a new viscosity approximation method based on the shrinking projection algorithm to approximate a common fixed point of a countable family of nonlinear mappings in a Banach space.
In 2008, Takahashi and Zembayashi [21] introduced an explicit algorithm based on the shrinking projection method for finding a common solution of the set of fixed points of a relatively nonexpansive mapping T and the set of solutions of an equilibrium problem.
Motivated and inspired by the results mentioned and related literature, we propose an iterative algorithm based on the shrinking projection method for finding a common element of the set of solutions of split generalized equilibrium problems and the set of common fixed points of a countable family of nonexpansive multivalued mappings in real Hilbert spaces.
Inspired and motivated by the work of Nakajo and Takahashi [5], Takahashi et al. [6], Dong et al. [7], Ceng et al. [17] and Cholamjiak and Suantai [20], we propose a hybrid method based on the shrinking effect of the two half-spaces, namely C n and Q n, of the underlying Hilbert space H.
A simple combustion model, based on the shrinking core conversion model, has been developed to analyse the combustion behaviour of sludge char particles.
The process model comprises a set of ordinary differential equations derived from the principle of mass and energy balance, coupled with a discrete particle model based on the shrinking core model.
The analytical solution for diffusion control, which is based on the shrinking core model, gives the fractional exchange as a function of the diffusivities and valencies of the counter-ions.
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