Symplectic optimization — Hamiltonian integrators, conservation laws, natural gradient descent on Riemannian manifolds
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Updated
May 29, 2026 - Rust
Symplectic optimization — Hamiltonian integrators, conservation laws, natural gradient descent on Riemannian manifolds
FLUX-C v3 VM — proof-carrying, SIMD-native, terminating constraint VM
Hyperbolic geometry embeddings using Poincaré ball and Lorentz models
Deadband detection and compression for fleet communication — BMA, Fibonacci splines, Eisenstein snap, HPDF sampling
Tropical attention — max-plus softmax, tropical transformer layers, Newton polytopes, piecewise-linear decision boundaries
Genetic algorithm engine for evolving musical structures and harmonic patterns
Persistent sheaf cohomology — cellular sheaf Laplacians, Vietoris-Rips complexes, multi-modal data fusion
Agent onboarding platform — plug-and-play shell commands to create fully functional agent workspaces. Fork of NVIDIA/OpenShell (Apache 2.0)
Musical algebra — PLR group, tropical semiring, tuning fields, voice leading
Wasserstein distance and optimal transport — Sinkhorn algorithm, agent distribution coordination, JKO gradient flow
Sheaf persistence bundles — multi-parameter persistence, spectral sequences, cross-modal data fusion
Inverted index for text search — TF-IDF scoring, cosine similarity, prefix queries
Tropical geometry for neural networks — max-plus semiring, tropical polynomials, Newton polytopes, tropical attention
A2UI (Agent-to-UI): render agent text output as visual interfaces
Persistent homology for flow networks: Vietoris-Rips filtration, Betti numbers, bottleneck distance, persistence spectra
Mathematically elegant spectral graph theory in pure Rust — Laplacian, eigenvalues, conservation ratio, Fiedler analysis
Spectral wave propagation: wave speed = √λ₂, CR predicts coherence, standing waves reveal eigenvalue spectrum. Pure Rust.
B-splines meet spectral graph theory. Cox-de Boor = Fibonacci for function spaces. Pure Rust.
Spectral graph theory v2 — Fibonacci growth, adaptive thresholds, negative space learning. Pure Rust, zero deps.
Spectral controllability analysis for graphs in Rust
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