A Suggested Computation for Maximal Multi-Commodity Network Flows
By L. R. Ford, D. R. Fulkerson. Management Sciences, 2004
363 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/50c2ed3e8148e8eb52bffc5705f42a014717d6a4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Michal Pióro
- George L. Nemhauser
- Mario Fritz
- D. Medhi
- Marco E. Lübbecke
- Jacques Desrosiers
- Juan Pablo Vielma
In Industrial and Manufacturing Engineering
- Manuel Iori
- Silvano Martello
- Maxence Delorme
- Michal Pióro
- Michael Jünger
- George L. Nemhauser
- William R. Pulleyblank
- Laurence A. Wolsey
In Management Science and Operations Research
- Michael Jünger
- Mateusz Malinowski
- George L. Nemhauser
- William R. Pulleyblank
- Laurence A. Wolsey
- Mario Fritz
- Marco E. Lübbecke
- Denis Naddef
Citations in the corpus
- 50 Years of Integer Programming 1958-2008 - From the Early Years to the State-of-the-Art (2010, background): “Other important contributions are due to Farkas [26] and Minkowski [39].”
- Selected Topics in Column Generation (2002, background): “Almost five decades have passed since Ford and Fulkerson (1958) suggested dealing only implicitly with the variables of a multicommodity flow problem.”
- Bin packing and cutting stock problems: Mathematical models and exact algorithms (2016, background): “In 1961 Gilmore and Gomory [69] introduced, for this class of problems, the concept of column generation, by deriving it from earlier ideas of Ford and Fulkerson [63] and Dantzig and Wolfe [40].”
- Routing, flow, and capacity design in communication and computer networks (2004, background): “In turn, Ford and Fulkerson [FF58] were perhaps the first to formulate the maximal flow multi-commodity problem using link-path representation.”
- IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis (2020, background): “Similar problems have been encountered in constraint optimization, where column generation algorithms / delayed constraint generation techniques have been employed to deal with large number of constraints (Ford Jr and Fulkerson, 1958).”