Eigen-AD: Algorithmic Differentiation of the Eigen Library

• Linearly implicit rosenbrock methods for unsteady flow simulations

  2026 International Journal of Heat and Fluid Flow article Engineering Advanced Numerical Methods in Computational Mathematics Open access

  0

  citations
• Differential Inversion of the Implicit Euler Method

  2026 SIAM Journal on Scientific Computing article Mathematics Numerical methods for differential equations

  0

  citations
• 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
• Proprioceptive State Estimation for Amphibious Tactile Sensing

  2024 IEEE Transactions on Robotics article Engineering Advanced Sensor and Energy Harvesting Materials Open access

  13

  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 Lecture notes in computer science conference-paper Computer Science Numerical Methods and Algorithms Open access

  11

  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

11 results

• Evaluating Derivatives

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

  1,556

  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
• 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
• 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 Lecture notes in computer science conference-paper Computer Science Numerical Methods and Algorithms Open access

  11

  citations
• Using automatic differentiation for compressive sensing in uncertainty quantification

  2017 Optimization methods & software article Decision Sciences Probabilistic and Robust Engineering Design

  4

  citations

8 results