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On the complexity of preflow-push algorithms for maximum-flow problems

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bfb0032035openalex-snapshot
Can a maximum flow be computed in o(nm) time?
inferredcites →https://doi.org/10.1137/0218072openalex-snapshot
Analysis of Preflow Push Algorithms for Maximum Network Flow
inferredcites →https://doi.org/10.1145/48014.61051openalex-snapshot
A new approach to the maximum-flow problem
inferredcites →https://doi.org/10.1287/moor.15.3.430openalex-snapshot
Finding Minimum-Cost Circulations by Successive Approximation
inferredcites →https://doi.org/10.21236/ada214689openalex-snapshot
Network Flow Algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781118033104.ch12openalex-snapshot
Flows in Networks
inferred← citeshttps://doi.org/10.1002/9781118033142.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1007/3-540-29297-7_8openalex-snapshot
Network Flows
inferred← citeshttps://doi.org/10.1007/978-0-387-74759-0_476openalex-snapshot
Optimization in Ad Hoc Networks
inferred← citeshttps://doi.org/10.1007/978-2-287-99037-3_8openalex-snapshot
Flots dans les réseaux
inferred← citeshttps://doi.org/10.1007/978-3-540-71844-4_8openalex-snapshot
Network Flows
inferred← citeshttps://doi.org/10.1007/978-3-540-76919-4_8openalex-snapshot
Netzwerkflüsse
inferred← citeshttps://doi.org/10.1007/978-3-540-87744-8_39openalex-snapshot
The Partial Augment–Relabel Algorithm for the Maximum Flow Problem
inferred← citeshttps://doi.org/10.1007/978-3-642-02158-9_19openalex-snapshot
Two-Level Push-Relabel Algorithm for the Maximum Flow Problem
inferred← citeshttps://doi.org/10.1007/978-3-642-24488-9_8openalex-snapshot
Network Flows
inferred← citeshttps://doi.org/10.1007/978-3-642-25401-7_8openalex-snapshot
Netzwerkflüsse
inferred← citeshttps://doi.org/10.1007/978-3-662-56039-6_8openalex-snapshot
Network Flows
inferred← citeshttps://doi.org/10.1007/978-3-662-57691-5_8openalex-snapshot
Netzwerkflüsse
inferred← citeshttps://doi.org/10.1007/978-88-470-1523-4_8openalex-snapshot
Reti di flusso
inferred← citeshttps://doi.org/10.1007/bf01240737openalex-snapshot
A faster parametric minimum-cut algorithm
inferred← citeshttps://doi.org/10.1007/s11590-006-0016-3openalex-snapshot
Maximum flow problem in wireless ad hoc networks with directional antennas
inferred← citeshttps://doi.org/10.1016/j.cor.2006.12.023openalex-snapshot
Efficient preflow push algorithms
inferred← citeshttps://doi.org/10.1016/j.future.2025.108013openalex-snapshot
Cost-aware routing for computation offloading in knowledge-defined AIoT
inferred← citeshttps://doi.org/10.1016/s0020-0190(99)00019-8openalex-snapshot
An analysis of the highest-level selection rule in the preflow-push max-flow algorithm
inferred← citeshttps://doi.org/10.1109/icws53863.2021.00068openalex-snapshot
An Assurance-Based Risk Management Framework for Distributed Systems
inferred← citeshttps://doi.org/10.1137/s0097539791221529openalex-snapshot
A Randomized Maximum-Flow Algorithm
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