KrylovKit

Extra Credit builds an outline of KrylovKit's docs the first time your work uses it. Until then, start at the official documentation.

• TermInterface Common interface for symbolic terms, allowing symbolic libraries with different underlying structures to interact and convert
• OrdinaryDiffEqSymplecticRK High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• OrdinaryDiffEqQPRK High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• OrdinaryDiffEqPRK High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• OrdinaryDiffEqFunctionMap High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• StableTasks Type stable multithreaded tasks in julia
• MAT Julia module for reading MATLAB files
• DynamicDiff Fast symbolic derivatives of runtime-generated expressions
• NCDatasets Load and create NetCDF files in Julia
• RootedTrees A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations a
• NetCDF_jll
• DiffEqDevTools Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)