2016
DOI: 10.1016/j.camwa.2015.10.015
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Convergence of operator splittings for locally Lipschitz-continuous operators in Banach spaces

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“…This resulting system is solved by operator splitting methods that are well known in problem solving that result in large systems of partial differential equations, as well as problems involving nonlinear chemical reactions [ 34 ], mosquito dispersal [ 35 ], nonlinear Schrodinger applications [ 36 ] and others. Sequential and iterative splitting for nonlinear problems with locally Lipschitz-continuous operators, which generates the lowest splitting error and convergence of first order, was presented and verified in [ 37 ]. We use the sequential operator to split the system into two parts and solve each one separately with specialized numerical techniques, in this case, combining the well-known fourth order Runge-Kutta method for the nonlinear dynamic problem and the space-time finite element method with distributed parameters for the diffusion problem.…”
Section: Introductionmentioning
confidence: 99%
“…This resulting system is solved by operator splitting methods that are well known in problem solving that result in large systems of partial differential equations, as well as problems involving nonlinear chemical reactions [ 34 ], mosquito dispersal [ 35 ], nonlinear Schrodinger applications [ 36 ] and others. Sequential and iterative splitting for nonlinear problems with locally Lipschitz-continuous operators, which generates the lowest splitting error and convergence of first order, was presented and verified in [ 37 ]. We use the sequential operator to split the system into two parts and solve each one separately with specialized numerical techniques, in this case, combining the well-known fourth order Runge-Kutta method for the nonlinear dynamic problem and the space-time finite element method with distributed parameters for the diffusion problem.…”
Section: Introductionmentioning
confidence: 99%