References in zbMATH (referenced in 137 articles , 1 standard article )

Showing results 41 to 60 of 137.
Sorted by year (citations)
  1. Brown, Kirsty L.; Gejadze, Igor; Ramage, Alison: A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation (2016)
  2. Frediani, Aldo (ed.); Mohammadi, Bijan (ed.); Pironneau, Olivier (ed.); Cipolla, Vittorio (ed.): Variational analysis and aerospace engineering. Mathematical challenges for the aerospace of the future. Based on the presentations at the workshop, Erice, Italy, 2015 (2016)
  3. Gejadze, I. Yu.; Malaterre, P.-O.: Design of the control set in the framework of variational data assimilation (2016)
  4. Günther, Stefanie; Gauger, Nicolas R.; Wang, Qiqi: Simultaneous single-step one-shot optimization with unsteady PDEs (2016)
  5. Kasper Kristensen and Anders Nielsen and Casper Berg and Hans Skaug and Bradley Bell: TMB: Automatic Differentiation and Laplace Approximation (2016) not zbMATH
  6. Łaniewski-Wołłk, Ł.; Rokicki, J.: Adjoint lattice Boltzmann for topology optimization on multi-GPU architecture (2016)
  7. Sluşanschi, Emil I.; Dumitrel, Vlad: ADiJaC -- automatic differentiation of Java classfiles (2016)
  8. Yao, Weigang; Liou, Meng-Sing: A nonlinear modeling approach using weighted piecewise series and its applications to predict unsteady flows (2016)
  9. Zwicke, Florian; Knechtges, Philipp; Behr, Marek; Elgeti, Stefanie: Automatic implementation of material laws: Jacobian calculation in a finite element code with TAPENADE (2016)
  10. Bob Carpenter, Matthew D. Hoffman, Marcus Brubaker, Daniel Lee, Peter Li, Michael Betancourt: The Stan Math Library: Reverse-Mode Automatic Differentiation in C++ (2015) arXiv
  11. Bonnard, Bernard; Claeys, Mathieu; Cots, Olivier; Martinon, Pierre: Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance (2015)
  12. Cao, Danping; Liao, Wenyuan: A computational method for full waveform inversion of crosswell seismic data using automatic differentiation (2015)
  13. Gejadze, I. Yu.; Shutyaev, V.: On Gauss-verifiability of optimal solutions in variational data assimilation problems with nonlinear dynamics (2015)
  14. Hannemann-Tamás, Ralf; Muñoz, Diego A.; Marquardt, Wolfgang: Adjoint sensitivity analysis for nonsmooth differential-algebraic equation systems (2015)
  15. Lakshminarayan, Vinod K.; Duraisamy, Karthik: Adjoint-based estimation and control of spatial, temporal and stochastic approximation errors in unsteady flow simulations (2015)
  16. Liao, Wenyuan: An adjoint-based Jacobi-type iterative method for elastic full waveform inversion problem (2015)
  17. Martin, N.; Monnier, J.: Inverse rheometry and basal properties inference for pseudoplastic geophysical flows (2015)
  18. Naumann, Uwe; Lotz, Johannes; Leppkes, Klaus; Towara, Markus: Algorithmic differentiation of numerical methods: tangent and adjoint solvers for parameterized systems of nonlinear equations (2015)
  19. Xu, Shenren; Radford, David; Meyer, Marcus; Müller, Jens-Dominik: Stabilisation of discrete steady adjoint solvers (2015)
  20. Yang, Yin; Robinson, Cordelia; Heitz, Dominique; Mémin, Etienne: Enhanced ensemble-based 4DVar scheme for data assimilation (2015)

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