C++ Graph Strong Components Detection (see presentation.pdf)
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Updated
Jul 21, 2018 - C++
C++ Graph Strong Components Detection (see presentation.pdf)
Implementations of several path coloring algorithms for the Boost Graph Library.
Advanced Algorithms and Parallel Programming exam project
Repository with code for learning how to use the Boost Graph Library
Implementation of the Max Flow Preflow-Push algorithm with excess scaling method using Boost Graph Library
A simple tool to deal with circular dependencies in C/C++.
Prototype using Boost C++ Graph Library of SeqDFS algorithm for static mutable graphs taken from research paper by Dr. Qiuyi Lyu, Dr. Bin Gong, Dr. Mo Sha, and Dr. Kuangda Lyu
A uniform API for using different graph libraries and types
Generate dynamic networks visualizations using the Boost Graph Library
Parallel computing: Infectious Disease Modeling with OpenMP. Agent based modelling on Undirected Acyclic graphs.
There is given an undirected graph G = (V, E) from which edges are deleted one at a time. Questions like "Are the vertices u and v in the same connected component?" have to be answered in constant time.
C++ Alternative Routing Library for Boost.Graph. A configurable, efficient, plug-n-play solution for alternative route planning and k-shortest paths problems.
Analyse the lightning network graph
UnDirected Graph Cycle Detection: C++ wrapper over Boost Graph Library (BGL)
GLAM: Graph Layout Aesthetic Metrics
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