2015
DOI: 10.1007/s00211-015-0754-1
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An abstract framework in the numerical solution of boundary value problems for neutral functional differential equations

Abstract: We consider the numerical solution of boundary value problems for general neutral functional differential equations. The problems are restated in an abstract form and, then, a general discretization of the abstract form is introduced and a convergence analysis of this discretization is developed

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Cited by 11 publications
(106 citation statements)
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References 50 publications
(98 reference statements)
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“…The convergence analysis of the numerical method described in Section 2 follows the abstract approach, 10 intended for neutral functional differential equations. Note that REs can be treated as equations of this kind by interpreting the relevant solutions as derivatives of other functions.…”
Section: Convergence Analysismentioning
confidence: 99%
See 3 more Smart Citations
“…The convergence analysis of the numerical method described in Section 2 follows the abstract approach, 10 intended for neutral functional differential equations. Note that REs can be treated as equations of this kind by interpreting the relevant solutions as derivatives of other functions.…”
Section: Convergence Analysismentioning
confidence: 99%
“…The general fixed‐point problem described in Reference 10 consists in finding (v,β)𝕍×𝔹 with v:=𝒢(u,α) and (u,α,β)𝕌×𝔸×𝔹 such that (u,α,β)=Φ(u,α,β) for Φ:𝕌×𝔸×𝔹𝕌×𝔸×𝔹 given by Φ(u,α,β):=false(𝒢false(u,αfalse),u,βfalse)false(α,βfalse)prefix−false(𝒢false(u,αfalse),u,βfalse), where :𝕍×𝕌×𝔹𝕌 in the first line defines the right‐hand side of the functional equation of the relevant BVP and :𝕍×𝕌×𝔹𝔸×𝔹 in the second one represents the boundary conditions. The solution v=𝒢…”
Section: Convergence Analysismentioning
confidence: 99%
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“…For this reason, in the last years the interest in the study of the dynamics of delay models has been increasing and important challenges, in particular numerical, have been identified. Indeed, delay equations describe infinite-dimensional dynamical systems, and theoretical results should be complemented with efficient numerical methods to approximate solutions of initial value problems [3,4,5,7,17,15,16,19,44,43], boundary value problems [48,49,50], and to investigate the stability of equilibria and periodic solutions [10,11,12,13,14,47,52,53,66]. In applications the attention is focused not only on the approximation of the dynamical properties for some given parameter values, but also on how such properties change when varying some parameters.…”
mentioning
confidence: 99%