Order by:
[Title],
[Author],
[Editor],
[Year] |
|
Bruce Christianson
A Leibniz Notation for Automatic Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: General
|
|
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
|
|
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
|
|
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
|
|
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
|
|
James A. Reed, Jean Utke, Hany S. Abdel-Khalik
Combining Automatic Differentiation Methods for High-Dimensional Nonlinear Models
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Application Area: Uncertainty Analysis Tools: OpenAD, Rapsodia Theory & Techniques: Higher Order, Reverse Mode
|
|
Kshitij Kulshreshtha, Jan Marburger
Computing Derivatives in a Meshless Simulation Using Permutations in ADOL-C
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Tools: ADOL-C
|
|
David C. Carothers, Stephen K. Lucas, G. Edgar Parker, Joseph D. Rudmin, James S. Sochacki, Roger J. Thelwell, Anthony Tongen, Paul G. Warne
Connections Between Power Series Methods and Automatic Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: General
|
|
Peder A. Olsen, Steven J. Rennie, Vaibhava Goel
Efficient Automatic Differentiation of Matrix Functions
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: Hierarchical Approach
|
|
Eric Phipps, Roger Pawlowski
Efficient Expression Templates for Operator Overloading-Based Automatic Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Tools: Sacado Theory & Techniques: Code Optimization
|
|
Kamil A. Khan, Paul I. Barton
Evaluating an Element of the Clarke Generalized Jacobian of a Piecewise Differentiable Function
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: Generalized Jacobian
|
|
Benjamin Letschert, Kshitij Kulshreshtha, Andrea Walther, Duc Nguyen, Assefaw Gebremedhin, Alex Pothen
Exploiting Sparsity in Automatic Differentiation on Multicore Architectures
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: Parallelism, Sparsity
|
|
Marco Nehmeier
Generative Programming for Automatic Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: Code Optimization
|
|
Johannes Lotz, Uwe Naumann, Jörn Ungermann
Hierarchical Algorithmic Differentiation A Case Study
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: Hierarchical Approach
|
|
Ahmad Bani Younes, James Turner, Manoranjan Majji, John Junkins
High-Order Uncertainty Propagation Enabled by Computational Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: Higher Order, Uncertainties
|
|
Sri Hari Krishna Narayanan, Boyana Norris, Paul Hovland, Assefaw Gebremedhin
Implementation of Partial Separability in a Source-to-Source Transformation AD Tool
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques: partial separability
|