Search Results for "graph algorithm"

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.

This is the library for the project Bifurcum. It does all the work. It has a simple algorithm (Deep First Search with modifications) and allows sorting children before traversing. This library sums up the authors 4-years experience when programming a commercial tool for graph traversing (which used a much more advanced algorithm) and coaching its users.

This software runs through a directional graph and writes the paths it found as test specifications. It has a simple algorithm (Deep First Search with modifications) and allows sorting children before traversing. This application sums up the authors 4-years experience when programming a commercial tool for graph traversing (which used a much more advanced algorithm) and coaching its users.

Pigale is a graph editor and a C++ algorithm library essentially concerned with planar graphs. This software, particularly intended for graph theoretical research, includes new algorithms based on our recent theoretical researches.

...Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. In general, emphasis is given in improving the efficiency of the algorithms in shared-memory models via java threads, since multi-core machines are so wide-spread today.

NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/

The E* algorithm is a path planner for (mobile) robotics. Unlike A*, which constrains movements to graph edges, it produces smooth trajectories by interpolating between edges. Like D*, it supports dynamic replanning after local path cost changes.

BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph.

LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.

G.A.V. (Graph Algorithm Visualizer) is a tool that visualizes algorithms from graph theory. A step-by-step visualization from each different algorithm allows the user to understand the particular algorithm very easily.

Simple Java Graph is a minimal matrix- and listbased graph implementation. An AStar search algorithm is also available.

A .NET implementation of the Gabow, Kaplan, Tarjan algorithm for testing the uniqueness of a perfect matching in a general graph.

jGABL (the Java Graph Algorithm Base Library) is a java library for the implementation of graph algorithms. It covers a hierarchy of graph concepts, various graph implementations, and algorithm animation.

The "Framework for Implicit Graph Algorithms and Representations by OBDDs" (Figaro) automatically manages experiments with input generator and algorithm plugins. It already contains some generators and algorithms for graph and scheduling problems.

A minimalistic CASE tool that will allow end-users to analyze their graphs (plain-old graphs, UML diagrams, ERDs, etc.) by applying various graph theory functions to them (such as a shortest path algorithm or a spanning tree algorithm.)