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First-order uncertainty analysis using Algorithmic Differentiation of morphodynamic models.

, , , , , and . Computers & Geosciences, (2016)

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On syntax-directed adjoint fortran code., and . Comput. Sci. Inf. Syst., 4 (2): 47-64 (2007)On the use of discrete adjoints in goal error estimation for shallow water equations., , , , and . ICCS, volume 1 of Procedia Computer Science, page 107-115. Elsevier, (2010)Algorithmic Differentiation Through Automatic Graph Elimination Ordering (ADTAGEO)., and . Combinatorial Scientific Computing, volume 09061 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2009)An efficient approach for the multi-pallet loading problem., , , and . European Journal of Operational Research, 123 (2): 372-381 (2000)First-order uncertainty analysis using Algorithmic Differentiation of morphodynamic models., , , , , and . Computers & Geosciences, (2016)Towards automatic significance analysis for approximate computing., , , , , , , and . CGO, page 182-193. ACM, (2016)Automation of Significance Analyses with Interval Splitting., , and . PARCO, volume 27 of Advances in Parallel Computing, page 731-740. IOS Press, (2015)A differentiation-enabled fortran 95 compiler., and . ACM Trans. Math. Softw., 31 (4): 458-474 (2005)A Framework for Proving Correctness of Adjoint Message-Passing Programs., , , , , and . PVM/MPI, volume 5205 of Lecture Notes in Computer Science, page 316-321. Springer, (2008)Towards Differentiation-Enabled FORTRAN 95 Compiler Technology., , and . SAC, page 143-147. ACM, (2003)