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scopus(36)
Automatic differentiation of advanced CFD codes for multidisciplinary design
ArticleAbstract: Automated multidisciplinary design of aircraft and other flight vehicles requires the optimization oPalabras claves:Autores:Andreas Griewank, Bischof C., Corliss G.F., Green L., Haigler K., Newman P.Fuentes:scopusBeyond the oracle: Opportunities of piecewise differentiation
Book PartAbstract: For more than 30 years much of the research and development in nonsmooth optimization has been pbkp_Palabras claves:Autores:Andreas Griewank, Walther A.Fuentes:scopusAn algorithm for pointwise evaluation of polyconvex envelopes II: generalization and numerical results
ArticleAbstract: In the first part of this paper (Afrika Matematika 1–24, 2011) we introduced a method for computingPalabras claves:Alternating procedure, Convergence proof, Energy densities, Numerical results, Tangent plane criterionAutores:Andreas Griewank, Bosse T., Eneya L.Fuentes:scopusA mathematical view of automatic differentiation
ReviewAbstract: Automatic, or algorithmic, differentiation addresses the need for the accurate and efficient calculaPalabras claves:Autores:Andreas GriewankFuentes:scopusADIFOR: A fortran system for portable automatic differentiation
Conference ObjectAbstract: Automatic differentiation provides the foundation for sensitivity analysis and subsequent design optPalabras claves:Autores:Andreas Griewank, Bischof C.Fuentes:scopusADOL-C: Computing higher-order derivatives and sparsity pattern for functions written in C/C++
Conference ObjectAbstract: This paper presents ADOL-C, a software package for the Automatic Differentiation of C and C++ codes.Palabras claves:Automatic differentiation, Forward mode, Higher-order derivatives, Reverse mode, Sparsity detectionAutores:Andreas Griewank, Walther A.Fuentes:scopusDetecting Jacobian sparsity patterns by Bayesian probing
ArticleAbstract: In this paper we describe an automatic procedure for successively reducing the set of possible nonzePalabras claves:Automatic differentiation, Conditional Probability, Difference quotients, sparsityAutores:Andreas Griewank, Mitev C.Fuentes:scopusCHARACTERIZATION AND COMPUTATION OF GENERALIZED TURNING POINTS.
ArticleAbstract: A minimal set of augmenting equations is given so that general parameter dependent problems togetherPalabras claves:Autores:Andreas Griewank, Reddien G.Fuentes:scopusApplicability of quasi-monte carlo for lattice systems
Conference ObjectAbstract: This project investigates the applicability of quasi-Monte Carlo methods to Euclidean lattice systemPalabras claves:Autores:Ammon A., Andreas Griewank, Hartung T., Jansen K., Leovey H., Müller-Preussker M.Fuentes:scopusAlgorithm 799: Revolve: An implementation of checkpointing for the reverse or adjoint mode of computational differentiation
ArticleAbstract: In its basic form, the reverse mode of computational differentiation yields the gradient of a scalarPalabras claves:Adjoint mode, ALGORITHMS, Checkpointing, Computational differentiation, Reverse modeAutores:Andreas Griewank, Walther A.Fuentes:scopus