REAL

Maximum flow is approximable by deterministic constant-time algorithm in sparse networks

Csóka, Endre (2016) Maximum flow is approximable by deterministic constant-time algorithm in sparse networks. Journal of Graph Theory. pp. 1-8. ISSN 0364-9024

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Abstract

We show a deterministic constant-time parallel algorithm for finding an almost maximum flow in multisource-multitarget networks with bounded degrees and bounded edge capacities. As a consequence, we show that the value of the maximum flow over the number of nodes is a testable parameter on these networks.

Item Type: Article
Additional Information: accepted with revision
Subjects: Q Science / természettudomány > QA Mathematics / matematika
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 02 Jan 2017 14:53
Last Modified: 02 Jan 2017 14:53
URI: http://real.mtak.hu/id/eprint/44109

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