DocumentCode
1769529
Title
Node voltages in nonlinear resistive circuits enable new approach to the minimum cut problem
Author
Sato, Mitsuhisa ; Aomori, Hisashi ; Tanaka, Mitsuru
Author_Institution
Fac. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
fYear
2014
fDate
1-5 June 2014
Firstpage
2788
Lastpage
2791
Abstract
In our previous research, we showed that the maximum flow and the minimum cut problem can be solved by using a resistive circuit consisting of nonlinear devices with a saturation characteristic. Usually, the flow network consists of three elements, such as connectivity between nodes, branch capacities, and flows. The network information obtained from nonlinear resistive circuit analysis also has conventional three elements such as the connectivity of edge, resistances of edge (= branch capacities) and currents (= flows). In addition, each node voltage is obtained as a 4th element. In this paper, a novel minimum cut solution by using node information as 4th element is proposed in a completely different way from conventional methods. When a number of minimum cuts exist in a given flow network, there is no conventional algorithm which can simultaneously give these cuts at the moment. However, all minimum cuts can be obtained at the same time by using proposed method. Moreover, since the proposed method is realizable by a nonlinear resistive circuit, speed improvement of the minimum cut algorithm can be expected.
Keywords
nonlinear network analysis; maximum flow problem; minimum cut problem; network information; node voltages; nonlinear devices; nonlinear resistive circuit analysis; nonlinear resistive circuits; saturation characteristic; Algorithm design and analysis; Computational complexity; Electric potential; Equations; Neural networks; Neurons; Partitioning algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location
Melbourne VIC
Print_ISBN
978-1-4799-3431-7
Type
conf
DOI
10.1109/ISCAS.2014.6865752
Filename
6865752
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