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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
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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
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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
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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
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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
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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
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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
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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
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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
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Shangyan Zou, Ossama Abdelkhalik
Collective control in arrays of wave energy converters
Article in
Renewable Energy, 2020 |
Application Area:
Energy
Tools:
ADiMat
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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
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Assefaw H. Gebremedhin, Andrea Walther
An introduction to algorithmic differentiation
Article in
WIREs Data Mining and Knowledge Discovery, 2020 |
Theory & Techniques:
Introduction
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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
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William Moses, Valentin Churavy
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
Conference proceeding,
Advances in Neural Information Processing Systems, Curran Associates, Inc.,
2020 |
Tools:
Enzyme
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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
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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
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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
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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
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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
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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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