| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Bruce Christianson
A Leibniz Notation for Automatic Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
General
|
|
|
Hany S. Abdel-Khalik, Paul D. Hovland, Andrew Lyons, Tracy E. Stover, Jean Utke
A Low Rank Approach to Automatic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
OpenAD
Theory & Techniques:
Jacobian-vector product
|
|
|
Salvatore Cuomo, Luisa D'Amore, Mariarosaria Rizzardi, Almerico Murli
A Modification of Weeks' Method for Numerical Inversion of the Laplace Transform in the Real Case Based on Automatic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
FADBAD/TADIFF
|
|
|
Sanjukta Bhowmick, Paul D. Hovland
A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Computational Graph, Hessian
|
|
|
Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind
AD in Fortran: Implementation via Prepreprocessor
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Tools:
Farfallen
Theory & Techniques:
Implementation Strategies
|
|
|
Markus Beckers, Viktor Mosenkis, Uwe Naumann
Adjoint Mode Computation of Subgradients for McCormick Relaxations
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
not yet classified
|
|
|
Jan Riehme, Andrea Walther, Jörg Stiller, Uwe Naumann
Adjoints for Time-Dependent Optimal Control
Advances in Automatic Differentiation, Springer,
2008 |
Application Area:
Optimal Control
Tools:
NAGWare Fortran 95
|
|
Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, Jean Utke
Advances in Automatic Differentiation
Springer,
2008 |
Theory & Techniques:
General
|
|
|
Bradley M. Bell, James V. Burke
Algorithmic Differentiation of Implicit Functions and Optimal Values
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
ADOL-C, CppAD
Theory & Techniques:
Fixpoint
|
|
|
Abhishek Kr. Gupta, Shaun A. Forth
An AD-Enabled Optimization ToolBox in LabVIEW™
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
not yet classified
|
|
|
Jieqiu Chen, Paul Hovland, Todd Munson, Jean Utke
An Integer Programming Approach to Optimal Derivative Accumulation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Computational Graph
|
|
|
Emre Özkaya, Anil Nemili, Nicolas R. Gauger
Application of Automatic Differentiation to an Incompressible URANS Solver
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Adjoint, Parallelism
|
|
|
Azamat Mametjanov, Boyana Norris, Xiaoyan Zeng, Beth Drewniak, Jean Utke, Mihai Anitescu, Paul Hovland
Applying Automatic Differentiation to the Community Land Model
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Tools:
OpenAD
|
|
|
Markus Grabner, Thomas Pock, Tobias Gross, Bernhard Kainz
Automatic Differentiation for GPU-Accelerated 2D/3D Registration
Advances in Automatic Differentiation, Springer,
2008 |
Application Area:
Biomedicine
|
|
|
Jeffrey A. Fike, Juan J. Alonso
Automatic Differentiation Through the Use of Hyper-Dual Numbers for Second Derivatives
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Hessian
|
|
|
Atya Elsheikh, Wolfgang Wiechert
Automatic Sensitivity Analysis of DAE-systems Generated from Equation-Based Modeling Languages
Advances in Automatic Differentiation, Springer,
2008 |
Application Area:
Differential-Algebraic Equation
|
|
|
Uwe Naumann
Call Tree Reversal is NP-Complete
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Adjoint, Checkpointing
|
|
|
Joel Andersson, Johan \AAkesson, Moritz Diehl
CasADI: A Symbolic Package for Automatic Differentiation and Optimal Control
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Tools:
CasADI
|
|
|
H. Martin Bücker, Monika Petera, Andre Vehreschild
Code Optimization Techniques in Source Transformations for Interpreted Languages
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
ADiCape, ADiMat
Theory & Techniques:
Code Optimization, Performance
|
|
|
Mike B. Giles
Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Hierarchical Approach
|
