Results 31 to 40 of about 1,124,505 (266)
Learning-augmented maximum flow
We propose a framework for speeding up maximum flow computation by using predictions. A prediction is a flow, i.e., an assignment of non-negative flow values to edges, which satisfies the flow conservation property, but does not necessarily respect the edge capacities of the actual instance (since these were unknown at the time of learning). We present
Polak, Adam, Zub, Maksym
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Weakly and strongly polynomial algorithms for computing the maximum decrease in uniform arc capacities [PDF]
In this paper, a new problem on a directed network is presented. Let D be a feasible network such that all arc capacities are equal to U. Given a t > 0, the network D with arc capacities U - t is called the t-network.
Ghiyasvand Mehdi
doaj +1 more source
Approximation algorithm for maximum flow network interdiction problem [PDF]
We consider the maximum flow network interdiction problem. We provide a new interpretation of the problem and define a concept called ”optimalcut”.
M. Afsharirad
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A new approach to the maximum flow problem [PDF]
All previously known efficient maximum-flow algorithms work by finding augmenting paths, either one path at a time (as in the original Ford and Fulkerson algorithm) or all shortest-length augmenting paths at once (using the layered network approach of Dinic).
Andrew V. Goldberg, Robert Endre Tarjan
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ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source
Maximum skew-symmetric flows and matchings [PDF]
35 pages, 3 figures, to appear in Mathematical Programming, minor stylistic corrections and shortenings to the original ...
Andrew V. Goldberg +1 more
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Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study
ABSTRACT Background Children with recurrent diffuse midline gliomas (DMGs) have limited therapeutic options at recurrence. Re‐irradiation (RT2) may be used at progression, but with uncertainty about the benefit. Methods We conducted a multi‐institutional retrospective study of children aged < 18 with DMG treated at three centers (Toronto, Canada ...
Ajay Thomas Alex +13 more
wiley +1 more source
Maximum Flows on Disjoint Paths [PDF]
We consider the question: What is the maximum flow achievable in a network if the flow must be decomposable into a collection of edge-disjoint paths? Equivalently, we wish to find a maximum weighted packing of disjoint paths, where the weight of a path is the minimum capacity of an edge on the path.
Guyslain Naves +2 more
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ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source
The Maximum Flow Problem for Oriented Flows.
In several applications of network flows, additional constraints have to be considered. In this paper, we study flows, where the flow particles have an orientation. For example, cargo containers with doors only on one side and train coaches with 1st and 2nd class compartments have such an orientation.
Stanley Schade, Martin Strehler 0001
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