2007
DOI: 10.1155/2007/12324
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Iterative Methods for Generalized von Foerster Equations with Functional Dependence

Abstract: We investigate when a natural iterative method converges to the exact solution of a differential-functional von Foerster-type equation which describes a single population depending on its past time and state densities, and on its total size. On the right-hand side, we assume either Perron comparison conditions or some monotonicity.

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Cited by 5 publications
(9 citation statements)
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“…The existence of solutions for generalized von Foerster equations with renewal conditions and with the functional dependence is proved in [13], which continues the sequence of results [3,4] and [10,12], focused on integral fixed-point equations, generated by differential-functional problems. As a main tool in the existence theory there are constructed integral fixed-point equations and functional spaces, invariant …”
Section: Introductionsupporting
confidence: 62%
“…The existence of solutions for generalized von Foerster equations with renewal conditions and with the functional dependence is proved in [13], which continues the sequence of results [3,4] and [10,12], focused on integral fixed-point equations, generated by differential-functional problems. As a main tool in the existence theory there are constructed integral fixed-point equations and functional spaces, invariant …”
Section: Introductionsupporting
confidence: 62%
“…In the present paper we generalize the L ∞ ∩ L 1 -convergence results of [9] to the case of renewal boundary conditions with natural assumptions on the flow of bicharacteristics. An associate result to [9] on fast convergent quasi-linearization methods has been published in [8].…”
Section: Introductionmentioning
confidence: 98%
“…Nonlocal terms always cause huge problems. Satisfactory conditions for convergence of iterative methods were provided in [9], where (for the sake of simplicity) some boundary data were prescribed. This forced additional restrictions on the (tangential!)…”
Section: Introductionmentioning
confidence: 99%
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