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  Maximum network flow with floating point arithmetic

Althaus, E., & Mehlhorn, K.(1997). Maximum network flow with floating point arithmetic (MPI-I-1997-1-022). Saarbrücken: Max-Planck-Institut für Informatik.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-9D72-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-1FDD-5
Genre: Report

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MPI-I-97-1-022.pdf (Any fulltext), 139KB
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 Creators:
Althaus, Ernst1, Author           
Mehlhorn, Kurt1, Author           
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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. For $m \le 10^9$ and 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 $m \le 10^6$ and double precision arithmetic the relative error after the first iteration is bounded by $10^{-3}$.

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Language(s): eng - English
 Dates: 1997
 Publication Status: Issued
 Pages: 5 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifiers: Report Nr.: MPI-I-1997-1-022
BibTex Citekey: AlthausMehlhorn97
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Title: Research Report / Max-Planck-Institut für Informatik
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