Forward Mode Automatic Differentiation for Julia
OTHER License
Higher-order central finite difference scheme
Implementation of polylogarithms in Julia
TensorOperations.jl compatible fast contractor for Julia, based on TBLIS, with generic strides an...
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Julia package for function approximation
Interpolations making use of cached data
A suite of Julia packages for difference-in-differences
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Calculus functions in Julia
A Julia package for discrete approximations of differential operators
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Abstract operators for large scale optimization in Julia
Taylor polynomial expansions in one and several independent variables.
Reverse Mode Automatic Differentiation for Julia
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) s...