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Prabhakar Marepalli, Sanjay R. Mathur, Jayathi Y. Murthy
Automatic differentiation approach for property computations in nanoscale thermal transport
Article in Computer Physics Communications, 2020
Application Area:
Heat Transport
Lianfa Li
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation
Article in Remote Sensing, 2020
Application Area:
Remote Sensing
Tools:
Tensorflow
Dmitri Goloubentsev, Evgeny Lakshtanov
Automatic adjoint differentiation for gradient descent and model calibration
Article in International Journal of Wavelets, Multiresolution and Information Processing, 2020
not yet classified
Siamak Akbarzadeh, Jan Hückelheim, Jens-Dominik Müller
Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation
Article in Computational Optimization and Applications, Springer Science and Business Media LLC, 2020
Theory & Techniques:
Iteration
Jose Maria Varas Casado, Rob Hewson
Algorithm 1008: Multicomplex Number Class for Matlab, with a Focus on the Accurate Calculation of Small Imaginary Terms for Multicomplex Step Sensitivity Calculations
Article in ACM Trans. Math. Softw., Association for Computing Machinery, 2020
Theory & Techniques:
Multicomplex Step Differentiation
Arne Bockhorn, Sri Hari Krishna Narayanan, Andrea Walther
Checkpointing Approaches for the Computation of Adjoints Covering Resilience Issues
Conference proceeding, 2020 Proceedings of the Ninth SIAM Workshop on Combinatorial Scientific Computing, Seattle, Washington, USA, February 11--13, 2020, SIAM, 2020
Theory & Techniques:
Checkpointing
Andres M. Aguirre-Mesa, Manuel J. Garcia, Harry Millwater
MultiZ: A Library for Computation of High-Order Derivatives Using Multicomplex or Multidual Numbers
Article in ACM Trans. Math. Softw., Association for Computing Machinery, 2020
Theory & Techniques:
Complex Step Differentiation, Higher Order
M. A. Rostami, H. M. Bücker
An Inexact Combinatorial Model for Maximizing the Number of Discovered Nonzero Entries
Conference proceeding, 2020 Proceedings of the Ninth SIAM Workshop on Combinatorial Scientific Computing, Seattle, Washington, USA, February 11--13, 2020, SIAM, 2020
Theory & Techniques:
Sparsity
M. A. Rostami, H. M. Bücker
Preconditioning Jacobian Systems by Superimposing Diagonal Blocks
Conference proceeding, Computational Science -- ICCS 2020, Proceedings of the 20th International Conference on Computational Science, Amsterdam, The Netherlands, June 3--5, 2020. Part II, Springer International Publishing, 2020
Tools:
ADiMat
Theory & Techniques:
Sparsity
Shangyan Zou, Ossama Abdelkhalik
Collective control in arrays of wave energy converters
Article in Renewable Energy, 2020
Application Area:
Energy
Tools:
ADiMat
Alexander Niewiarowski, Sigrid Adriaenssens, Ruy Marcelo Pauletti
Adjoint optimization of pressurized membrane structures using automatic differentiation tools
Article in Computer Methods in Applied Mechanics and Engineering, 2020
Application Area:
Shape optimization
Tools:
dolfin-adjoint
Assefaw H. Gebremedhin, Andrea Walther
An introduction to algorithmic differentiation
Article in WIREs Data Mining and Knowledge Discovery, 2020
Theory & Techniques:
Introduction
Awad H. Al-Mohy, Bahar Arslan
The complex step approximation to the higher order Fréchet derivatives of a matrix function
Article in Numerical Algorithms, Springer Science and Business Media LLC, 2020
Theory & Techniques:
Complex Step Differentiation, Higher Order
William S. Moses, Valentin Churavy
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
Advances in Neural Information Processing Systems 33, 2020
Theory & Techniques:
Adjoint, control-flow reversal, Fixpoint, General, Static Analysis
P. Nobel
auto_diff: An Automatic Differentiation Package For Python
Conference proceeding, 2020 Spring Simulation Conference (SpringSim), Society for Modeling and Simulation International (SCS), 2020
Tools:
auto_diff
G. D. Balogh, I. Z. Reguly
Automatic parallel implementations of adjoint codes for structured mesh applications
Conference proceeding, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE, 2020
Theory & Techniques:
Toolkits
R. Seidler
Automatisierte Anbindung von Simulations- und Optimierungssoftware zur parallelen Lösung inverser Problemklassen
Ph.D. thesis, Department of Mathematics and Computer Science, Friedrich Schiller University Jena, 2020
Application Area:
Inverse Problems, Optimization
Tools:
TAPENADE
Jan Hückelheim, Michel Schanen, Sri Hari Krishna Narayanan, Paul Hovland
Vector Forward Mode Automatic Differentiation on SIMD/SIMT Architectures
Conference proceeding, 49th International Conference on Parallel Processing -- ICPP, Association for Computing Machinery, 2020
Theory & Techniques:
Parallelism
Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
Derivatives and Automatic Differentiation
Machine Learning Refined: Foundations, Algorithms, and Applications, Cambridge University Press, 2020
Theory & Techniques:
Introduction
Sören Laue, Matthias Mitterreiter, Joachim Giesen
A Simple and Efficient Tensor Calculus
Conference proceeding, The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, New York, NY, USA, February 7--12, 2020, AAAI Press, 2020
Theory & Techniques:
Hierarchical Approach

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