ruvector-math-wasm-scoped

What problem does it solve?

This Skill provides efficient, scoped WebAssembly implementations for advanced mathematical operations like Optimal Transport and Information Geometry, enabling complex calculations in browser or Node.js environments.

Core Features & Use Cases

• Optimal Transport: Compute Wasserstein distances and use Sinkhorn solvers for cost-minimizing transport plans.
• Information Geometry: Calculate Fisher information metrics and natural gradients for statistical manifolds.
• Product Manifolds: Perform operations like geodesics, exponential, and logarithmic maps on product manifolds.
• Use Case: Analyze the divergence between two probability distributions using Wasserstein distance or compute the curvature of a statistical model using the Fisher metric.

Quick Start

Import the WassersteinDistance class and compute the distance between two probability distributions.