| Crates.io | chaotic_networks |
| lib.rs | chaotic_networks |
| version | 0.1.0 |
| created_at | 2024-06-22 19:06:10.102404+00 |
| updated_at | 2024-06-22 19:06:10.102404+00 |
| description | Discrete Graphs for Indiscrete Researchers - Networks with Grothendieck Topology. |
| homepage | |
| repository | |
| max_upload_size | |
| id | 1280643 |
| size | 46,631 |
ChaoticNetworksChaoticNetworks is a Rust package designed for advanced graph modeling and simulations. This library leverages Grothendieck topologies and sheaf theory to provide a robust framework for analyzing and understanding complex networks such as Hopfield networks and chip-firing models.
Modular design and support for a range of Grothendieck Topologies.
Integration with sheaf theory for consistency and advanced analysis.
Flexible simulation framework for Hopfield networks and chip-firing systems.
Rust implementation (potential for future Python bindings).
Provides Opportunity for a range of wordplay.
src/graph - Contains the core graph structures and node implementations.src/sheaf - Manages sheaf and presheaf data, along with sheaf conditions.src/simulation - Simulation logic for Hopfield networks and chip-firing systems.src/category - Defines Category Theoeretic structure and Grothendieck topologies.UCL Human Electrophysiology Lab: https://bushlab-ucl.github.ioCrates.io: https://crates.io/crates/chaotic-networksSGA 1972: https://stacks.math.columbia.edu/tag/00WY