2013
DOI: 10.1016/j.amc.2013.03.074
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Numerical algorithms for a variational problem of the spatial segregation of reaction–diffusion systems

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Cited by 9 publications
(17 citation statements)
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“…The second approach is a finite difference method, but lack of its analysis in [6]. This finite difference method has been generalized in [9] for the case of nonnegative f i . In [9] the authors present a numerical consistent variational system with strong interaction, and provide disjointness condition of populations during the iteration of the scheme.…”
Section: Known Resultsmentioning
confidence: 99%
“…The second approach is a finite difference method, but lack of its analysis in [6]. This finite difference method has been generalized in [9] for the case of nonnegative f i . In [9] the authors present a numerical consistent variational system with strong interaction, and provide disjointness condition of populations during the iteration of the scheme.…”
Section: Known Resultsmentioning
confidence: 99%
“…For the numerical approximation of the system (1.2) we refer to [3,4]. In [3] the authors propose a numerical scheme for a class of reaction-diffusion system with m densities having disjoint supports and are governed by a minimization problem.…”
Section: Which Satisfymentioning
confidence: 99%
“…For the numerical approximation of the system (1.2) we refer to [3,4]. In [3] the authors propose a numerical scheme for a class of reaction-diffusion system with m densities having disjoint supports and are governed by a minimization problem. The proposed numerical scheme is applied for the spatial segregation limit of diffusive Lotka-Volterra models in presence of high competition and inhomogeneous Dirichlet boundary conditions.…”
Section: Which Satisfymentioning
confidence: 99%
“…Numerical studies of this type of problem have so far been limited to the planar case. We mention in particular the study of Chang et al (2004) and some special algorithms in the case of small m given by Bozorgnia and Arakelyan (2013) and Bozorgnia (2009). Also Bourdin, Bucur and Oudet (2010) considered the problem for large values of m using a fictitious domain approach.…”
Section: )mentioning
confidence: 99%