January 01, 2020 conference-paper Aachen paper

Eigen-AD : Algorithmic Differentiation of the Eigen Library

RWTH Publications (RWTH Aachen)

OpenAlex

Authors 3

Patrick Peltzer corresponding Aachen

RWTH Aachen University

Affiliation as printed

Informatik 12: Software and Tools for Computational Engineering, RWTH Aachen University, 52056, Aachen, Germany
Johannes Lotz Aachen

RWTH Aachen University

Affiliation as printed

Informatik 12: Software and Tools for Computational Engineering, RWTH Aachen University, 52056, Aachen, Germany
Uwe Naumann Aachen

RWTH Aachen University

Affiliation as printed

Informatik 12: Software and Tools for Computational Engineering, RWTH Aachen University, 52056, Aachen, Germany

Cited by 9 stored of 9

Level set topology optimization with sparse automatic differentiation
2024 Structural and Multidisciplinary Optimization article Engineering Topology Optimization in Engineering

11

citations
Reconstructing Soft Robotic Touch via In‐Finger Vision
2024 Advanced Intelligent Systems article Engineering Soft Robotics and Applications Open access

4

citations
Development and Implementation of Mine Ventilation Network Calibration Using a Two-step Method
2024 Mining Metallurgy & Exploration article Engineering Underground infrastructure and sustainability

3

citations
Aggregated type handling in CoDiPack
2023 PAMM article Computer Science Numerical Methods and Algorithms Open access

0

citations
Tensor Algebra on an Optoelectronic Microchip
2023 Lecture notes in networks and systems conference-paper Computer Science Parallel Computing and Optimization Techniques

0

citations
Eigenvalue problem derivatives computation for a complex matrix using the adjoint method
2022 Mechanical Systems and Signal Processing article Computer Science Matrix Theory and Algorithms

19

citations
Eigen-AD : Algorithmic Differentiation of the Eigen Library
2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Numerical Methods and Algorithms

9

citations
MCMC for Bayesian Uncertainty Quantification from Time-Series Data
2020 Lecture notes in computer science conference-paper Mathematics Markov Chains and Monte Carlo Methods Open access

2

citations
Computational Science – ICCS 2020
2020 Lecture notes in computer science conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

28

citations

9 results

References 17

Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
1987 article Computer Science Numerical Methods and Algorithms

2,190

citations
Evaluating Derivatives
2008 Society for Industrial and Applied Mathematics eBooks book Decision Sciences Psychometric Methodologies and Testing

1,556

citations
Expression templates
1996 article Computer Science Logic, programming, and type systems

366

citations
The Art of Differentiating Computer Programs
2011 Society for Industrial and Applied Mathematics eBooks book Computer Science Matrix Theory and Algorithms

255

citations
Getting Started with ADOL-C
2012 Chapman & Hall/CRC computational science series/Chapman & Hall/CRC computational science book-chapter Computer Science Numerical Methods and Algorithms Open access

204

citations
Fast Reverse-Mode Automatic Differentiation using Expression Templates in C++
2014 ACM Transactions on Mathematical Software article Computer Science Numerical Methods and Algorithms

179

citations
High-Performance Derivative Computations using CoDiPack
2019 ACM Transactions on Mathematical Software article Computer Science Numerical Methods and Algorithms Open access

151

citations
Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation
2008 Lecture notes in computational science and engineering book-chapter Computer Science Matrix Theory and Algorithms

119

citations
Expression Templates Revisited: A Performance Analysis of Current Methodologies
2012 SIAM Journal on Scientific Computing article Computer Science Parallel Computing and Optimization Techniques Open access

72

citations
The Stan Math Library: Reverse-Mode Automatic Differentiation in C++
2015 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

68

citations
Automatic Differentiation of an Entire Design Chain for Aerodynamic Shape Optimization
2007 Springer eBooks book-chapter Engineering Computational Fluid Dynamics and Aerodynamics

33

citations
Sensitivity Analysis of Turbulence Models Using Automatic Differentiation
2004 SIAM Journal on Scientific Computing article Engineering Computational Fluid Dynamics and Aerodynamics

26

citations
Eigen-AD : Algorithmic Differentiation of the Eigen Library
2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Numerical Methods and Algorithms

9

citations
Hybrid approaches to adjoint code generation with dco/c++
2016 RWTH Publications (RWTH Aachen) dissertation Computer Science Numerical Methods and Algorithms Open access

6

citations
Using automatic differentiation for compressive sensing in uncertainty quantification
2017 Optimization methods & software article Decision Sciences Probabilistic and Robust Engineering Design

4

citations
High-Order Automatic Differentiation of Unmodified Linear Algebra Routines via Nilpotent Matrices
2017 CU Scholar (University of Colorado Boulder) dissertation Computer Science Numerical Methods and Algorithms Open access

4

citations
W4297854510
details pending

0

citations

17 results