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Mathematical Models and Methods in Applied Sciences
Article . 2000 . Peer-reviewed
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https://dx.doi.org/10.1142/s02...
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NUMERICAL ANALYSIS OF ITERATIVE ALGORITHMS FOR AN INVERSE BOUNDARY TRANSPORT PROBLEM

Numerical analysis of iterative algorithms for an inverse boundary transport problem
descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2000 English Publisher:World Scientific Pub Co Pte LtdJournal:Mathematical Models and Methods in Applied Sciences, volume 10, pages 11-29 (issn: 0218-2025, eissn: 1793-6314, Copyright policy )
Authors: Agoshkov, V. I.; Parmuzin, E. I.; Shutyaev, V. P.; Bardos, C.;

doi: 10.1142/s0218202500000033

NUMERICAL ANALYSIS OF ITERATIVE ALGORITHMS FOR AN INVERSE BOUNDARY TRANSPORT PROBLEM

Abstract

The paper deals with numerical analysis of an inverse boundary transport problem. A class of iterative algorithms for solving this problem is considered, the algorithms convergence conditions are studied, and the convergence rate estimates are derived. Numerical examples are presented.

Related Organizations
Keywords

inverse boundary transport problem, numerical analysis, iterative algorithms, Transport processes in time-dependent statistical mechanics, Numerical methods for inverse problems for integral equations, Computational methods (statistical mechanics)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
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