|
Emil I. Slusanschi, Vlad Dumitrel
ADiJaC -- Automatic Differentiation of Java Classfiles
Article in
ACM Transaction on Mathematical Software, ACM,
2016 |
Tools:
ADiJaC
|
|
|
D. A. Belikov, S. Maksyutov, A. Yaremchuk, A. Ganshin, T. Kaminski, S. Blessing, M. Sasakawa, A. J. Gomez-Pelaez, A. Starchenko
Adjoint of the global Eulerian--Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation
Article in
Geoscientific Model Development, 2016 |
Application Area:
Climate Modeling
Tools:
TAF
|
|
|
Jukka I. Toivanen
An Automatic Differentiation Based Approach to the Level Set Method
Mathematical Modeling and Optimization of Complex Structures, Springer International Publishing,
2016 |
not yet classified
|
|
|
D. N. Goldberg, S. H. K. Narayanan, L. Hascoët, J. Utke
An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem
Article in
Geoscientific Model Development, 2016 |
Application Area:
Climate Modeling
Tools:
OpenAD
Theory & Techniques:
Fixpoint
|
|
|
Michel Schanen, Oana Marin, Hong Zhang, Mihai Anitescu
Asynchronous Two-level Checkpointing Scheme for Large-scale Adjoints in the Spectral-Element Solver Nek5000
Article in
Procedia Computer Science, 2016 |
Theory & Techniques:
Checkpointing
|
|
Thomas F. Coleman, Wei Xu
Automatic Differentiation in MATLAB Using ADMAT with Applications
SIAM,
2016 |
Theory & Techniques:
General, Introduction
|
|
|
Jeffrey Mark Siskind, Barak A. Pearlmutter
Binomial Checkpointing for Arbitrary Programs with No User Annotation
2016 |
Tools:
lambda calculus
Theory & Techniques:
Checkpointing, Implementation Strategies
|
|
|
Mu Wang, Assefaw Gebremedhin, Alex Pothen
Capitalizing on live variables: new algorithms for efficient Hessian computation via automatic differentiation
Article in
Mathematical Programming Computation, 2016 |
Theory & Techniques:
Hessian
|
|
|
Victor Alejandro Merchan, Günter Wozny
Comparative Evaluation of Rigorous Thermodynamic Models for the Description of the Hydroformylation of 1-Dodecene in a Thermomorphic Solvent System
Article in
Industrial & Engineering Chemistry Research, 2016 |
Application Area:
Thermodynamics
Tools:
ADiMat
|
|
|
Estévez Schwarz, D. , R. Lamour
Diagnosis of singular points of properly stated DAEs using automatic differentiation
Article in
Numerical Algorithms, 2016 |
Application Area:
Differential-Algebraic Equation
Tools:
AlgoPy
|
|
|
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
DiffSharp: An AD Library for .NET Languages
2016 |
Tools:
DiffSharp
|
|
Jan Christian Hückelheim
Discrete adjoints on many cores: Algorithmic differentiation of accelerated fluid simulations
Ph.D. thesis,
School of Engineering and Materials Science, Queen Mary University of London, 2016 |
Application Area:
Aerodynamics
Theory & Techniques:
Checkpointing, Iteration, Parallelism, Static Analysis
|
|
|
Mahmudul Hasan, Shahadat Hossain, Ahamad Imtiaz Khan, Nasrin Hakim Mithila, Ashraful Huq Suny
DSJM: A Software Toolkit for Direct Determination of Sparse Jacobian Matrices
Conference proceeding,
Mathematical Software -- ICMS 2016, 5th International Conference, Berlin, Germany, July 11--14, 2016,, Springer International Publishing,
2016 |
Theory & Techniques:
graph coloring, Sparsity
|
|
|
Mu Wang, Alex Pothen, Paul Hovland
Edge Pushing is Equivalent to Vertex Elimination for Computing Hessians
Conference proceeding,
2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, Albuquerque, New Mexico, USA, October 10--12, SIAM,
2016 |
Theory & Techniques:
Hessian
|
|
|
Jeffrey Mark Siskind, Barak A. Pearlmutter
Efficient Implementation of a Higher-Order Language with Built-In AD
2016 |
Theory & Techniques:
Implementation Strategies, Performance
|
|
|
H. M. Bücker, M. Lülfesmann, M. A. Rostami
Enabling Implicit Time Integration for Compressible Flows by Partial Coloring: A Case Study of a Semi-matrix-free Preconditioning Technique
Conference proceeding,
2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, Albuquerque, New Mexico, USA, October 10--12, SIAM,
2016 |
Application Area:
Aerodynamics
Theory & Techniques:
Sparsity
|
|
|
Phil Brubaker
Engineering Design Optimization using Calculus Level Methods
2016 |
not yet classified
|
|
|
Xiao Jian Zhou, Ting Jiang
Enhancing Least Square Support Vector Regression with Gradient Information
Article in
Neural Processing Letters, 2016 |
Application Area:
Machine Learning
Tools:
ADiMat
|
|
|
Robert Kelly, Barak A. Pearlmutter, Jeffrey Mark Siskind
Evolving the Incremental λ Calculus into a Model of Forward AD
2016 |
Tools:
lambda calculus
Theory & Techniques:
Forward Mode, Software Engineering, Tangent
|
|
|
J. Revels, M. Lubin, T. Papamarkou
Forward-Mode Automatic Differentiation in Julia
Article in
arXiv:1607.07892 [cs.MS], 2016 |
Tools:
ForwardDiff.jl
|
