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