2009
DOI: 10.1007/s10898-009-9471-6
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Maximum flows and minimum cuts in the plane

Abstract: Maximum flow, Minimum cut, Capacity constraint, Cheeger,

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Cited by 18 publications
(12 citation statements)
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“…With weights f and g as above, we will again refer to h(Ω) as the Cheeger constant and to solutions of (1.3) as Cheeger sets. In this case, the minimization problem (1.2) and the value h(Ω) are related to the so-called maximal flow problem, see Strang [24,25] and Section 2.2 below.…”
Section: H(ω) := Infmentioning
confidence: 99%
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“…With weights f and g as above, we will again refer to h(Ω) as the Cheeger constant and to solutions of (1.3) as Cheeger sets. In this case, the minimization problem (1.2) and the value h(Ω) are related to the so-called maximal flow problem, see Strang [24,25] and Section 2.2 below.…”
Section: H(ω) := Infmentioning
confidence: 99%
“…We first spend some time in Section 2 to motivate the interest of problem (1.2) with general weights f and g. More precisely, we describe two different applied settings where (1.2) and the Cheeger constant h(Ω) naturally arise: landslide modelling [13,[19][20][21] and the continuous maximal flow problem (see Strang [24,25]). In Section 3, we recall the results of [6] on the selection of the maximal Cheeger set.…”
Section: H(ω) := Infmentioning
confidence: 99%
See 1 more Smart Citation
“…This application of duality is remarkable for the fact that the minimum cut ∂S may be easily determined from (1.1), while the flow vector v(x, y) that fills the cut to capacity has only recently been approximated [37]. No analytic expression for v has been discovered [50,52].…”
Section: Psfrag Replacementsmentioning
confidence: 99%
“…We refer to our survey [52] for the essential role of the coarea formula in converting the dual to maximum flow into the constrained isoperimetric problem that directly identifies the minimum cut ∂S:…”
Section: Max Flow-min Cut Theoremmentioning
confidence: 99%