Publications from 2016
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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
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 GŁneş 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
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
Biswa Sengupta, Karl J. Friston, Will D. Penny
Gradient-based MCMC samplers for dynamic causal modelling
Article in NeuroImage, 2016
Application Area:
Neuroscience
Tools:
ADiMat
Johannes Lotz
Hybrid approaches to adjoint code generation with dco/c++
Ph.D. thesis, Department of Computer Science, RWTH Aachen University, 2016
Tools:
dco/c++
Theory & Techniques:
Checkpointing, Hierarchical Approach, Integration of Analytic Derivatives

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