
INTLAB
 Referenced in 413 articles
[sw04004]
 sparse matrices (very fast) automatic differentiation (forward mode, vectorized computations, fast) Gradients (to solve systems...

libMC
 Referenced in 42 articles
[sw06615]
 either one of two ways: the forward mode or the reverse mode of automatic differentiation ... forward mode, with each elementary operation of convex and concave relaxation, additional variables are introduced ... alternative approach to the forward mode is the reverse mode, which performs similar recursive operations ... evaluation trace backwards. Only the forward mode of subgradient calculation is currently implemented in libMC...

TAF
 Referenced in 79 articles
[sw07492]
 Fortran95 programs. TAF supports forward and reverse mode of AD and Automatic Sparsity Detection...

MAD
 Referenced in 25 articles
[sw12534]
 /MAD: An efficient overloaded implementation of forward mode automatic differentiation in MATLAB. The Mad package ... underlying algorithm is the wellknown forward mode of automatic differentiation implemented via operator overloading...

ETPS
 Referenced in 153 articles
[sw06302]
 library facility for saving formulas, definitions, and modes (groups of flag settings). The interactive facilities ... students to work forwards, backwards, or in a combination of these modes, and provides facilities...

CVODES
 Referenced in 34 articles
[sw04946]
 with sensitivity analysis capabilities (both forward and adjoint modes). CVODES is a superset of CVODE ... sensitivity methods is more appropriate. The forward sensitivity analysis (FSA) method is mostly suitable when...

Autograd
 Referenced in 15 articles
[sw22077]
 derivatives of derivatives. It supports reversemode differentiation (a.k.a. backpropagation), which means it can efficiently ... arrayvalued arguments, as well as forwardmode differentiation, and the two can be composed...

ForwardDiff
 Referenced in 9 articles
[sw16106]
 ForwardMode Automatic Differentiation in Julia. We present ForwardDiff, a Julia package for forwardmode ... ForwardDiff provides a variant of vectorforward mode that avoids expensive heap allocation and makes...

FFADlib
 Referenced in 10 articles
[sw18092]
 numerical computations of partial derivatives in forward mode. The proposed data structure providing constant time...

ADiGator
 Referenced in 10 articles
[sw19688]
 source transformation via operator overloading using forward mode algorithmic differentiation and produces a file that...

Sacado
 Referenced in 8 articles
[sw06602]
 efficiency of operator overloadingbased forward mode automatic differentiation schemes in the C++ programming language...

ADIC2
 Referenced in 6 articles
[sw09622]
 ADIC differentiation tool, which supports forward mode AD of C and a small subset...

DNAD
 Referenced in 5 articles
[sw10783]
 Fortran language. It implements the forward mode of automatic differentiation using the arithmetic of dual...

SATCHMOREBID
 Referenced in 7 articles
[sw06623]
 negative clauses is performed in a forward chaining mode as opposed to relevancy propagation...

edge_push_sp
 Referenced in 4 articles
[sw11168]
 differentiation. The first method is a forwardmode algorithm by A. Walther [ACM Trans. Math...

URANS
 Referenced in 3 articles
[sw06436]
 eased through the use of the reverse mode of Automatic/Algorithmic Differentiation ... values obtained from finite differences and forward mode AD code...

Adept
 Referenced in 3 articles
[sw19696]
 required. Differentiation can be performed in forward mode, reverse mode (to compute the adjoint...

Audi
 Referenced in 3 articles
[sw19687]
 implementing the Taylor truncated polynomial algebra (forward mode automated differentiation). It was created with...

dco/c++
 Referenced in 6 articles
[sw17438]
 derivatives of arbitrary order, vector forward and reverse mode, userdefined tangent or adjoint projections...

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