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A Mixed Approach to Adjoint Computation with Algorithmic Differentiation.

, , and . System Modelling and Optimization, volume 494 of IFIP Advances in Information and Communication Technology, page 331-340. (2015)

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On the numerical stability of algorithmic differentiation., , and . Computing, 94 (2-4): 125-149 (2012)A parallel mixed finite element implementation of fourth-order plate bending problems in distributed memory environments., , and . Appl. Math. Comput., 163 (1): 253-274 (2005)A Mixed Approach to Adjoint Computation with Algorithmic Differentiation., , and . System Modelling and Optimization, volume 494 of IFIP Advances in Information and Communication Technology, page 331-340. (2015)Efficient computation of derivatives for solving optimization problems in R and Python using SWIG-generated interfaces to ADOL-C., , , and . Optim. Methods Softw., 33 (4-6): 1173-1191 (2018)Towards Adjoint and Directional Derivatives in FMI utilizing ADOL-C within OpenModelica., , , , and . Modelica, volume 132 of Linköping Electronic Conference Proceedings, page 132:040. Linköping University Electronic Press, (2017)Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization., , , and . Optim. Methods Softw., 33 (4-6): 1073-1088 (2018)Performance of a parallel mixed finite element implementation for fourth order clamped anisotropic plate bending problems in distributed memory environments., , and . Appl. Math. Comput., 155 (3): 753-777 (2004)