Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,253,086 papers from all fields of science
Search
Sign In
Create Free Account
Push–relabel maximum flow algorithm
Known as:
Push-relabel maximum flow algorithm
, Lift to front
, Push-relabel algorithm
Expand
In mathematical optimization, the push–relabel algorithm (alternatively, preflow–push algorithm) is an algorithm for computing maximum flows. The…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
12 relations
Andrew V. Goldberg
Breadth-first search
Edmonds–Karp algorithm
FIFO (computing and electronics)
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A Network-flow Based Optimal Scheduling for Data Downloading from Satellites to ES in LEO Satellite Networks
Zhichao He
,
Longying Wu
,
Hejiao Huang
International Conference on Big Data Computing…
2019
Corpus ID: 208212526
In recent years, satellite networks technology plays a more and more important role in military and commercial fields. To meet…
Expand
2014
2014
Surface Detection in 3D images using Cellular Logic Array Processing
G. R. Chandra
,
G. Sathya
,
E. Rajan
,
Michael P. Coyle
IEEE International Conference on Systems, Man and…
2014
Corpus ID: 32289425
This paper proposes Cellular Logic Array Processing (CLAP) based 3-D surface detection algorithm. The performance of CLAP based…
Expand
Highly Cited
2010
Highly Cited
2010
Distributed routing algorithms to manage power flow in agent-based active distribution network
P. Nguyen
,
W. Kling
,
G. Georgiadis
,
M. Papatriantafilou
,
L. Tuan
,
L. B. Tjernberg
IEEE PES Innovative Smart Grid Technologies…
2010
Corpus ID: 8667165
The current transition from passive to active electric distribution networks comes with problems and challenges on bi-directional…
Expand
2010
2010
Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms
Zhengyu He
,
Bo Hong
IEEE International Parallel and Distributed…
2010
Corpus ID: 2387544
The maximum flow problem is a fundamental graph theory problem with many important applications. Max-flow algorithms based on the…
Expand
2009
2009
Two-Level Push-Relabel Algorithm for the Maximum Flow Problem
A. Goldberg
Algorithmic Applications in Management
2009
Corpus ID: 6574662
We describe a two-level push-relabel algorithm for the maximum flow problem and compare it to the competing codes. The algorithm…
Expand
Highly Cited
2008
Highly Cited
2008
CUDA cuts: Fast graph cuts on the GPU
Vibhav Vineet
,
P J Narayanan
IEEE Computer Society Conference on Computer…
2008
Corpus ID: 6656466
Graph cuts has become a powerful and popular optimization tool for energies defined over an MRF and have found applications in…
Expand
2008
2008
The Partial Augment-Relabel Algorithm for the Maximum Flow Problem
A. Goldberg
Embedded Systems and Applications
2008
Corpus ID: 5548892
The maximum flow problem is a classical optimization problem with many applications. For a long time, HI-PR, an efficient…
Expand
2008
2008
A lock-free multi-threaded algorithm for the maximum flow problem
Bo Hong
IEEE International Symposium on Parallel and…
2008
Corpus ID: 2565199
The maximum flow problem is an important graph problem with a wide range of applications. In this paper, we present a lock-free…
Expand
2007
2007
Maximum s-t-flow with k crossings in O(k3n log n) time
Jan M. Hochstein
,
K. Weihe
ACM-SIAM Symposium on Discrete Algorithms
2007
Corpus ID: 9555810
There is a large body of results on planar graph algorithms that are more efficient than the best known algorithm for general…
Expand
1995
1995
A Parallel Implementation of the Push-Relabel Algorithm for the Maximum Flow Problem
Richard J. Anderson
,
J. Setubal
J. Parallel Distributed Comput.
1995
Corpus ID: 206572602
Abstract We describe an efficient parallel implementation of the push-relabel maximum flow algorithm for a shared-memory…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE