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  Maximum Network Flow with Floating Point Arithmetic

Althaus, E., & Mehlhorn, K. (1998). Maximum Network Flow with Floating Point Arithmetic. Information Processing Letters, 66(3), 109-113. doi:10.1016/S0020-0190(98)00043-X.

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Mehlhorn132.pdf (Publisher version), 475KB
 
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 Creators:
Althaus, Ernst1, Author           
Mehlhorn, Kurt1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: We discuss the implementation of network flow algorithms in floating point
arithmetic. We give an example to illustrate the difficulties that may arise
when floating point arithmetic is used without care. We describe an iterative
improvement scheme that can be put around any network flow algorithm for
integer capacities. The scheme carefully scales the capacities such that all
integers arising can be handled exactly using floating point arithmetic. Let n
and m be the number of nodes and edges of the network, respectively. For m 109
and with double precision floating point arithmetic, the number of iterations
is always bounded by three, and the relative error in the flow value is at most
2−19. For m 106 and with double precision arithmetic, the relative error after
the first iteration is bounded by 10−3.

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Language(s): eng - English
 Dates: 2008-01-041998
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 344425
Other: Local-ID: C1256428004B93B8-529C02DB1FD42F47C125666000312F2A-althaus-mehlhorn98
DOI: 10.1016/S0020-0190(98)00043-X
BibTex Citekey: Althaus-Mehlhorn_IPL98
 Degree: -

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Title: Information Processing Letters
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 66 (3) Sequence Number: - Start / End Page: 109 - 113 Identifier: ISSN: 0020-0190
CoNE: https://pure.mpg.de/cone/journals/resource/954921346222