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Tight bounds on the number of minimum-mean cycle cancellations and related results
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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/bf01240735openalex-snapshot
A new scaling algorithm for the maximum mean cut problem
inferredcites →https://doi.org/10.1007/bf01580122openalex-snapshot
More pathological examples for network flow problems
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/bf01585705openalex-snapshot
Finding minimum-cost flows by double scaling
inferredcites →https://doi.org/10.1007/bf02579369openalex-snapshot
A strongly polynomial minimum cost circulation algorithm
inferredcites →https://doi.org/10.1007/bf02591772openalex-snapshot
The minimum cost flow problem: A unifying approach to dual algorithms and a new tree-search algorithm
inferredcites →https://doi.org/10.1016/0012-365x(78)90011-0openalex-snapshot
A characterization of the minimum cycle mean in a digraph
inferredcites →https://doi.org/10.1016/0166-218x(92)90231-xopenalex-snapshot
Negative circuits for flows and submodular flows
inferredcites →https://doi.org/10.1137/0109002openalex-snapshot
An Out-of-Kilter Method for Minimal-Cost Flow Problems
inferredcites →https://doi.org/10.1145/321694.321699openalex-snapshot
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
inferredcites →https://doi.org/10.1145/62212.62249openalex-snapshot
A faster strongly polynomial minimum cost flow algorithm
inferredcites →https://doi.org/10.1145/76359.76368openalex-snapshot
Finding minimum-cost circulations by canceling negative cycles
inferredcites →https://doi.org/10.1287/mnsc.14.3.205openalex-snapshot
A Primal Method for Minimal Cost Flows with Applications to the Assignment and Transportation Problems
inferredcites →https://doi.org/10.1287/moor.15.3.430openalex-snapshot
Finding Minimum-Cost Circulations by Successive Approximation
inferredcites →https://doi.org/10.15807/jorsj.31.431openalex-snapshot
A PRIMAL ALGORITHM FOR THE SUBMODULAR FLOW PROBLEM WITH MINIMUM-MEAN CYCLE SELECTION
inferredcites →https://doi.org/10.21136/cmj.1975.101334openalex-snapshot
Diagonal similarity and equivalence for matrices over groups with 0
inferredcites →https://doi.org/10.21236/ada214498openalex-snapshot
Finding Minimum-Cost Flows by Double Scaling
inferredcites →https://doi.org/10.21236/ada457044openalex-snapshot
A Faster Strongly Polynomial Minimum Cost Flow Algorithm
inferredcites →https://doi.org/10.2307/2003490openalex-snapshot
Finite Graphs and Networks, An Introduction with Applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Choosing Subsets with Maximum Weighted Average
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Fractional Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/978-1-4613-0303-9_6openalex-snapshot
Fractional Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/978-3-319-21398-9_55openalex-snapshot
Smoothed Analysis of the Minimum-Mean Cycle Canceling Algorithm and the Network Simplex Algorithm
inferred← citeshttps://doi.org/10.1007/s13676-015-0077-5openalex-snapshot
Tools for primal degenerate linear programs: IPS, DCA, and PE
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A new approach for computing a most positive cut using the minimum flow algorithms
inferred← citeshttps://doi.org/10.1016/j.cor.2017.02.019openalex-snapshot
A strongly polynomial Contraction-Expansion algorithm for network flow problems
inferred← citeshttps://doi.org/10.1016/j.dam.2014.07.005openalex-snapshot
About the minimum mean cycle-canceling algorithm
inferred← citeshttps://doi.org/10.1016/j.dam.2015.06.013openalex-snapshot
12th Cologne-Twente workshop on graphs and combinatorial optimization (CTW 2013)
inferred← citeshttps://doi.org/10.1016/j.ejor.2021.09.022openalex-snapshot
The minimum mean cycle-canceling algorithm for linear programs
inferred← citeshttps://doi.org/10.1016/j.orl.2014.10.001openalex-snapshot
Decomposition theorems for linear programs
inferred← citeshttps://doi.org/10.1017/9781009093927.004openalex-snapshot
Circuit Imbalance Measures and Linear Programming
inferred← citeshttps://doi.org/10.1109/sfcs.1992.267785openalex-snapshot
Newton's method for fractional combinatorial optimization
inferred← citeshttps://doi.org/10.1137/1.9781611973105.85openalex-snapshot
Smoothed Analysis of the Successive Shortest Path Algorithm
inferred← citeshttps://doi.org/10.1137/21m1439390openalex-snapshot
Approximating Min-Mean-Cycle for Low-Diameter Graphs in Near-Optimal Time and Memory
inferred← citeshttps://doi.org/10.1137/s0097539794263695openalex-snapshot
Polynomial Methods for Separable Convex Optimization in Unimodular Linear Spaces with Applications
inferred← citeshttps://doi.org/10.1145/1027084.1027085openalex-snapshot
Experimental analysis of the fastest optimum cycle ratio and mean algorithms
inferred← citeshttps://doi.org/10.1186/s42162-018-0030-6openalex-snapshot
Towards negative cycle canceling in wind farm cable layout optimization
inferred← citeshttps://doi.org/10.1287/moor.2022.1326openalex-snapshot
An Accelerated Newton–Dinkelbach Method and Its Application to Two Variables per Inequality Systems
inferred← citeshttps://doi.org/10.1287/moor.25.1.76.15208openalex-snapshot
Relaxed Most Negative Cycle and Most Positive Cut Canceling Algorithms for Minimum Cost Flow
inferred← citeshttps://doi.org/10.3990/1.9789036540971openalex-snapshot
Smoothed analysis of belief propagation and minimum-cost flow algorithms
inferred← citeshttps://doi.org/10.48550/arxiv.1504.00918openalex-snapshot
Supercritical minimum mean-weight cycles
inferred← citeshttps://doi.org/10.5555/2627817.2627902openalex-snapshot
Smoothed analysis of the successive shortest path algorithm
inferred← citeshttps://doi.org/10.7155/jgaa.00539openalex-snapshot
Smoothed Analysis of the Minimum-Mean Cycle Canceling Algorithm and the Network Simplex Algorithm
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