1997
DOI: 10.1006/jmaa.1997.5308
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Waveform Relaxation Methods for Functional Differential Systems of Neutral Type

Abstract: We investigate continuous-time and discretized waveform relaxation iterations for functional differential systems of neutral type. It is demonstrated that continuous-time iterations converge linearly for neutral equations and superlinearly when the right hand side is independent of the history of the derivative of the solution. The error bounds for discretized iterations are also obtained and some implementation aspects are discussed. Numerical results are presented which indicate a potential speedup of this t… Show more

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Cited by 30 publications
(24 citation statements)
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“…It is obvious that the unique solution of problem (1) exists. The same is true for problem (4), which guarantees the existence of the sequence (x k ). Our problem is to find conditions for the convergence of the WR sequence.…”
Section: A General Idea Of the Wr Methodsmentioning
confidence: 56%
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“…It is obvious that the unique solution of problem (1) exists. The same is true for problem (4), which guarantees the existence of the sequence (x k ). Our problem is to find conditions for the convergence of the WR sequence.…”
Section: A General Idea Of the Wr Methodsmentioning
confidence: 56%
“…Another proof follows from rather non-trivial Theorem 2 in [4] and the standard theorem of the analysis on the relation between Cauchy and d'Alambert criteria for series convergence (see, for example [21]; also notice that the assertion of Theorem 2 in [4] holds for any K > 0).…”
Section: Remarkmentioning
confidence: 99%
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“…We also refer to [2,3] for the discussion of various acceleration methods of waveform relaxation iterations. These techniques in the context of functional-differential equations are discussed in [12,29,28]. Waveform relaxation methods for differential-algebraic systems are examined in [11].…”
Section: Waveform Relaxation Iterationsmentioning
confidence: 99%
“…[9] in which Enright and Hu considered the convergence of continuous Runge-Kutta methods for NVDIDEs y (t) = f (t, y(t)) + t t−τ K(t, θ, y(θ), y (θ))dθ, t 0. (1.5) In particular, Jackiewicz [13][14][15] systematically investigated the convergence of various numerical methods for more general neutral functional differential equations (NFDEs). However, these important convergence results are based on the classical Lipschitz conditions.…”
Section: Introductionmentioning
confidence: 99%