
TAF
 Referenced in 87 articles
[sw07492]
 programs. TAF supports forward and reverse mode of AD and Automatic Sparsity Detection...

libMC
 Referenced in 47 articles
[sw06615]
 ways: the forward mode or the reverse mode of automatic differentiation. In the forward mode ... forward mode is the reverse mode, which performs similar recursive operations, but works through...

TAMC
 Referenced in 72 articles
[sw07198]
 case of differentiation of algorithms in reverse mode, where the dependent function is a scalar...

revolve
 Referenced in 82 articles
[sw00802]
 implementation of checkpointing for the reverse or adjoint mode of computational differentiation. This ... variant (“revolve”) of the basic form for reverse differentiation for computing the gradient...

Autograd
 Referenced in 25 articles
[sw22077]
 derivatives of derivatives. It supports reversemode differentiation (a.k.a. backpropagation), which means it can efficiently...

OpenAD/F
 Referenced in 24 articles
[sw09380]
 ocean model is considered. OpenAD/F’s reverse mode is applied to compute sensitivities of some...

ForwardDiff
 Referenced in 19 articles
[sw16106]
 memory bandwidth than traditional vector mode. In our numerical experiments, we demonstrate that for nontrivially ... computations can be faster than a reversemode implementation from the Pythonbased autograd package...

Adept
 Referenced in 8 articles
[sw19696]
 Differentiation can be performed in forward mode, reverse mode (to compute the adjoint ... several other important optimizations mean that reversemode differentiation is significantly faster than other libraries...

dco/c++
 Referenced in 12 articles
[sw17438]
 arbitrary order, vector forward and reverse mode, userdefined tangent or adjoint projections, activity analysis...

AMPI
 Referenced in 9 articles
[sw36043]
 passing routines in the context of reverse mode Algorithmic Differentiation for MPI enabled codes...

Stan Math
 Referenced in 6 articles
[sw36869]
 Stan Math Library: ReverseMode Automatic Differentiation in C++. As computational challenges in optimization ... Stan Math Library is a C++, reversemode automatic differentiation library designed to be usable...

Lantern
 Referenced in 3 articles
[sw30958]
 provide a very concise view of reversemode automatic differentation (AD), which allows ... implementation of reversemode AD purely through operator overloading (no auxiliary data structures required!). Staging...

edge_push_sp
 Referenced in 4 articles
[sw11168]
 differentiation. The first method is a forwardmode algorithm by A. Walther [ACM Trans. Math ... edge_push_sp, a new reverse mode algorithm descended from the edge_pushing algorithm ... algorithms. The results show that the new reverse algorithm is very promising...

Qn3d
 Referenced in 5 articles
[sw18099]
 with applications to the tilt mode instability in field reversed configurations. The tilt mode instability ... field reversed configuration (FRC) is discussed. Previous numerical models have not adequately explained the behavior ... this mode. A particleincell (PIC) model in Cartesian coordinates is introduced with...

Kornia
 Referenced in 4 articles
[sw31197]
 take advantage of the reversemode autodifferentiation to define and compute the gradient...

URANS
 Referenced in 3 articles
[sw06436]
 eased through the use of the reverse mode of Automatic/Algorithmic Differentiation...

EliAD
 Referenced in 3 articles
[sw07477]
 matrix interpretation of standard forward and reverse modes of automatic differentiation (AD) in terms...

ADCME
 Referenced in 3 articles
[sw42952]
 calculate the gradients using reversemode automatic differentiation. We apply a physics constrained learning algorithm...

padge
 Referenced in 3 articles
[sw17680]
 dco/c++ in forward as well as reverse mode. The differentiated code is validated and runs...

ADiJaC
 Referenced in 3 articles
[sw19695]
 both the forward and the reverse modes of automatic differentiation. We describe the overall architecture...