Parametric Flow
Parametric Flow is a network flow model in which edge capacities are defined as parametric functions of a common parameter, distinguishing it from static flow models by enabling the analysis of flow variations under continuously changing capacity constraints.
57
Publications
4.3K
Citations
127
Authors
83
Institutions
Publications per year
2017–2026
12
Parents
57
Beyond the flow decomposition barrier
Andrew V. Goldberg, Satish Rao · Journal of the ACM · 1998 · 474 citations · Full text
1–5 of 57
127
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 127
83

University of Toronto
Toronto, Canada
4 h-index
6 publications
286 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
661 citations
Princeton University
Princeton, United States
3 h-index
5 publications
1.6K citations
Palo Alto Research Center
Palo Alto, United States
3 h-index
3 publications
667 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
329 citations

Leipzig University of Applied Sciences
Leipzig, Germany
2 h-index
2 publications
56 citations

University of Freiburg
Freiburg im Breisgau, Germany
2 h-index
3 publications
161 citations

University of British Columbia
Vancouver, Canada
2 h-index
2 publications
65 citations
1–8 of 83
2 publications · 256 citations
2
h-index
2 publications · 57 citations
2
h-index
2 publications · 113 citations
2
h-index
1 publications · 11 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5