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Order by: [Title], [Author], [Editor], [Year]
Bruce Christianson, Laurence C. W. Dixon, Steven Brown
Sharing Storage Using Dirty Vectors
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Markus Towara, Uwe Naumann
SIMPLE adjoint message passing
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Ulrich Römer, Mahesh Narayanamurthi, Adrian Sandu
Solving parameter estimation problems with discrete adjoint exponential integrators
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Laurent Hascoët, Mathieu Morlighem
Source-to-source adjoint Algorithmic Differentiation of an ice sheet model written in C
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Bruce Christianson, Shaun A. Forth, Andreas Griewank
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation
Taylor & Francis, 2018
Theory & Techniques:
General
Christèle Faure
Splitting of Algebraic Expressions for Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Thomas F. Coleman, Arun Verma
Structure and Efficient Jacobian Calculation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
Sparsity
P. Stumm, A. Walther, J. Riehme, U. Naumann
Structure-Exploiting Automatic Differentiation of Finite Element Discretizations
Advances in Automatic Differentiation, Springer, 2008
Tools:
NAGWare Fortran 95

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