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A primal simplex algorithm that solves the maximum flow problem in at mostnm pivots and O(n 2 m) time

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

inferredcites →https://doi.org/10.1007/bf01580132openalex-snapshot
A bad network problem for the simplex method and other minimum cost flow algorithms
inferredcites →https://doi.org/10.1007/bf01580379openalex-snapshot
A network simplex method
inferredcites →https://doi.org/10.1007/bf01593804openalex-snapshot
A practicable steepest-edge simplex algorithm
inferredcites →https://doi.org/10.1007/bf02288321openalex-snapshot
A computational comparison of the dinic and network simplex methods for maximum flow
inferredcites →https://doi.org/10.1016/0022-0000(83)90006-5openalex-snapshot
A data structure for dynamic trees
inferredcites →https://doi.org/10.1137/0218065openalex-snapshot
Improved Time Bounds for the Maximum Flow Problem
inferredcites →https://doi.org/10.1145/12130.12144openalex-snapshot
A new approach to the maximum flow problem
inferredcites →https://doi.org/10.1145/321694.321699openalex-snapshot
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
inferredcites →https://doi.org/10.1145/62212.62250openalex-snapshot
Finding minimum-cost circulations by canceling negative cycles
inferredcites →https://doi.org/10.1145/76359.76368openalex-snapshot
Finding minimum-cost circulations by canceling negative cycles
inferredcites →https://doi.org/10.1287/opre.37.5.748openalex-snapshot
A Fast and Simple Algorithm for the Maximum Flow Problem
inferredcites →https://doi.org/10.21236/ada214691openalex-snapshot
Efficiency of the Network Simplex Algorithm for the Maximum Flow Problem
inferredcites →https://doi.org/10.2307/1907816openalex-snapshot
Activity Analysis of Production and Allocation
inferredcites →https://doi.org/10.4153/cjm-1957-024-0openalex-snapshot
A Simple Algorithm for Finding Maximal Network Flows and an Application to the Hitchcock Problem

What points at this work

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

inferred← citeshttps://doi.org/10.1002/net.1012openalex-snapshot
A new—old algorithm for minimum‐cut and maximum‐flow in closure graphs
inferred← citeshttps://doi.org/10.1002/net.22082openalex-snapshot
An augmenting‐flow algorithm for a class of node‐capacitated maximum flow problems
inferred← citeshttps://doi.org/10.1007/3-540-69346-7_25openalex-snapshot
The Pseudoflow Algorithm and the Pseudoflow-Based Simplex for the Maximum Flow Problem
inferred← citeshttps://doi.org/10.1007/978-0-387-74759-0_476openalex-snapshot
Optimization in Ad Hoc Networks
inferred← citeshttps://doi.org/10.1007/978-1-4612-2666-6_17openalex-snapshot
Finding the Most Vital Arc in the Shortest Path Problem with Fuzzy Arc Lengths
inferred← citeshttps://doi.org/10.1007/978-3-642-32278-5_11openalex-snapshot
The Network Simplex Algorithm
inferred← citeshttps://doi.org/10.1007/978-94-015-8330-5_2openalex-snapshot
On the Complexity of the Simplex Method
inferred← citeshttps://doi.org/10.1007/bf01580604openalex-snapshot
A polynomial-time simplex method for the maximumk-flow problem
inferred← citeshttps://doi.org/10.1007/bf01580615openalex-snapshot
Polynomial dual network simplex algorithms
inferred← citeshttps://doi.org/10.1007/bf01582129openalex-snapshot
Strongly polynomial dual simplex methods for the maximum flow problem
inferred← citeshttps://doi.org/10.1007/bf01594940openalex-snapshot
Use of dynamic trees in a network simplex algorithm for the maximum flow problem
inferred← citeshttps://doi.org/10.1007/bf01758840openalex-snapshot
Polynomial-time primal simplex algorithms for the minimum cost network flow problem
inferred← citeshttps://doi.org/10.1007/bf02614365openalex-snapshot
A polynomial time primal network simplex algorithm for minimum cost flows
inferred← citeshttps://doi.org/10.1007/bf02614368openalex-snapshot
On strongly polynomial dual simplex algorithms for the maximum flow problem
inferred← citeshttps://doi.org/10.1007/bf02614369openalex-snapshot
Dynamic trees as search trees via euler tours, applied to the network simplex algorithm
inferred← citeshttps://doi.org/10.1007/s10479-014-1769-1openalex-snapshot
Exterior point simplex-type algorithms for linear and network optimization problems
inferred← citeshttps://doi.org/10.1007/s11227-020-03227-9openalex-snapshot
Multi-granularity hybrid parallel network simplex algorithm for minimum-cost flow problems
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/10.1016/0166-218x(93)90148-hopenalex-snapshot
On the maximum capacity augmentation algorithm for the maximum flow problem
inferred← citeshttps://doi.org/10.1016/0167-6377(91)90039-ropenalex-snapshot
On strongly polynomial variants of the network simplex algorithm for the maximum flow problem
inferred← citeshttps://doi.org/10.1016/0377-2217(91)90060-9openalex-snapshot
The maximum flow problem: A max-preflow approach
inferred← citeshttps://doi.org/10.1016/b978-85-352-7814-9.50010-5openalex-snapshot
Fluxos em Redes
inferred← citeshttps://doi.org/10.1016/j.dam.2016.06.026openalex-snapshot
Strongly polynomial primal monotonic build-up simplex algorithm for maximal flow problems
inferred← citeshttps://doi.org/10.1016/j.orl.2007.12.001openalex-snapshot
A strongly polynomial simplex method for the linear fractional assignment problem
inferred← citeshttps://doi.org/10.1016/s0167-6377(96)00052-1openalex-snapshot
Equivalence of the primal and dual simplex algorithms for the maximum flow problem
inferred← citeshttps://doi.org/10.1016/s0377-2217(96)00269-xopenalex-snapshot
Computational investigations of maximum flow algorithms
inferred← citeshttps://doi.org/10.1080/02331934.2013.800515openalex-snapshot
On strongly polynomial variants of the MBU-simplex algorithm for a maximum flow problem with non-zero lower bounds
inferred← citeshttps://doi.org/10.1080/02331939508844049openalex-snapshot
A comprehensive simplex-like algorithm for network optimization and perturbation analysis
inferred← citeshttps://doi.org/10.1109/cit.2011.25openalex-snapshot
Fast Augmentation Algorithms for Maximising the Flow in Repairable Flow Networks After a Component Failure
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298645openalex-snapshot
Graph-based simplex method for pairwise energy minimization with binary variables
inferred← citeshttps://doi.org/10.1109/jproc.1993.752029openalex-snapshot
Intelligent optical networks: research, education, and industrial programs at the center for telecommunications research
inferred← citeshttps://doi.org/10.1137/18m1197205openalex-snapshot
A Friendly Smoothed Analysis of the Simplex Method
inferred← citeshttps://doi.org/10.1145/3188745.3188826openalex-snapshot
A friendly smoothed analysis of the simplex method
inferred← citeshttps://doi.org/10.1287/moor.16.2.272openalex-snapshot
Efficiency of the Primal Network Simplex Algorithm for the Minimum-Cost Circulation Problem
inferred← citeshttps://doi.org/10.21236/ada214691openalex-snapshot
Efficiency of the Network Simplex Algorithm for the Maximum Flow Problem
inferred← citeshttps://doi.org/10.21236/ada254340openalex-snapshot
Polynomial Dual Network Simplex Algorithms
inferred← citeshttps://doi.org/10.3724/sp.j.1087.2008.00143openalex-snapshot
New algorithm for maximum flow algorithm in network with both node and edge capacity confined
inferred← citeshttps://doi.org/10.48550/arxiv.0712.3858openalex-snapshot
Bottleneck flows in networks
inferred← citeshttps://doi.org/10.5555/313852.314105openalex-snapshot
A polynomial time primal network simplex algorithm for minimum cost flows
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