Forward Mode Automatic Differentiation for Julia
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Published by jrevels over 5 years ago
Published by jrevels almost 6 years ago
Published by jrevels about 6 years ago
Published by jrevels over 6 years ago
Published by jrevels almost 7 years ago
Published by jrevels about 7 years ago
Published by jrevels over 7 years ago
TensorOperations.jl compatible fast contractor for Julia, based on TBLIS, with generic strides an...
Interpolations making use of cached data
Reverse Mode Automatic Differentiation for Julia
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) s...
Abstract operators for large scale optimization in Julia
A Julia package for discrete approximations of differential operators
Julia package for function approximation
Taylor polynomial expansions in one and several independent variables.
Implementation of polylogarithms in Julia
A suite of Julia packages for difference-in-differences
Calculus functions in Julia
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Higher-order central finite difference scheme