Publications by Author: Reynolds
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Order by: [Title], [Author], [Editor], [Year]
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
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
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

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