sublinear-time-solver

by ruvnet · MCP Server · ★ 77

About sublinear-time-solver

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm cost propagation and verification.

asymmetric-matricesconjugate-gradient-methoddiagonally-dominantdistributed-solversedge-computing-algorithmsgraph-laplacianiterative-solversmcp-toolsmodel-context-protocolnetwork-flow-optimization

Quick Facts

Stars77
Forks31
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score34.8/100
Last Updated2026-05-19
Created2025-09-19
Platformscli, mcp, rust
Est. Tokens~7960k

Compatible Skills

These tools work well together with sublinear-time-solver for enhanced workflows:

  • ironclaw — semantic(0.16)+complementary+same_lang+shared_platform (46%)

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Frequently Asked Questions

What is sublinear-time-solver?

sublinear-time-solver is Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm c. It is categorized as a MCP Server with 77 GitHub stars.

What programming language is sublinear-time-solver written in?

sublinear-time-solver is primarily written in Rust. It covers topics such as asymmetric-matrices, conjugate-gradient-method, diagonally-dominant.

How do I install or use sublinear-time-solver?

You can find installation instructions and usage details in the sublinear-time-solver GitHub repository at github.com/ruvnet/sublinear-time-solver. The project has 77 stars and 31 forks, indicating an active community.

What license does sublinear-time-solver use?

sublinear-time-solver is released under the MIT license, making it free to use and modify according to the license terms.

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