Search Results for "shortest path"

ngraph.path is a JavaScript library that implements efficient pathfinding algorithms for graphs, primarily designed to compute shortest paths in weighted or unweighted networks. It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to...

...Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”.

...This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions.

The program demonstrates the usage of the A* algorithm to find the shortest path. It searches the shortest path between source piece and target piece on the rectangular board. On the board the obstacles (wall) can be constructed. In addition to the algorithm, the GUI is provided. The GUI is written in Qt. Using the GUI, one can construct and move interactively the obstacles on the board. For every modification of the board, the shortest path is calculated automatically. ...

Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational...

Programmed on Language C. A nano-Infant of GOOGLE-MAP Optimized to Consume some MB instead of 50 GB of RAM This was Programmed Quarter Year ago in 2014

Calculates the shortest path between a group of EVE-Online solar systems that contain assets.

All pairs shortest path implementation using iterative mapreduce paradigm. Specifically, the iterative paradigm is an implementation of Twister (www.iterativemapreduce.org), developed by Indiana University.

Graphserver provides fast shortest-path computations on very large graphs, for use as a sub-component of a trip-planning service.

The Open Optimization for Java provides a framework and the implementation of commonly-used algorithms found in Graph Theory and Network Optimization, e.g. shortest path and postman problem.

This project provides a library of standard data types (lists, trees, graphs, semaphores, locks, points, vectors, matrices, shapes, etc.) and standard algorithms (sorting, depth first search, shortest path problem etc.)

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.)