Publications by Author: Reynolds
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About


Order by: [Title], [Author], [Editor], [Year]
Mark S. Gockenbach, Daniel R. Reynolds, William W. Symes
Automatic Differentiation and the Adjoint State Method
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Adjoint
Mark S. Gockenbach, Daniel R. Reynolds, Peng Shen, William W. Symes
Efficient and automatic implementation of the adjoint state method
Article in ACM Trans. Math. Softw., ACM, 2002
Tools:
TAMC
Theory & Techniques:
Adjoint
Daniel R. Reynolds, Ravi Samtaney
Sparse Jacobian Construction for Mapped Grid Visco-Resistive Magnetohydrodynamics
Recent Advances in Algorithmic Differentiation, Springer, 2012
Tools:
OpenAD
Theory & Techniques:
Sparsity

back
  

LinkedIn:    Contact:
autodiff.org
Username:
Password:
(lost password)