References in zbMATH (referenced in 123 articles , 1 standard article )

Showing results 21 to 40 of 123.
Sorted by year (citations)
  1. Srajer, Filip; Kukelova, Zuzana; Fitzgibbon, Andrew: A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning (2018)
  2. Towara, M.; Naumann, U.: SIMPLE adjoint message passing (2018)
  3. Zhou, Beckett Y.; Ryong Koh, Seong; Gauger, Nicolas R.; Meinke, Matthias; Schöder, Wolfgang: A discrete adjoint framework for trailing-edge noise minimization via porous material (2018)
  4. Auroux, D.; Groza, V.: Optimal parameters identification and sensitivity study for abrasive waterjet milling model (2017)
  5. Geeraert, Sébastien; Lehalle, Charles-Albert; Pearlmutter, Barak A.; Pironneau, Olivier; Reghai, Adil: Mini-symposium on automatic differentiation and its applications in the financial industry (2017)
  6. Hückelheim, Jan Christian; Hascoët, Laurent; Müller, Jens-Dominik: Algorithmic differentiation of code with multiple context-specific activities (2017)
  7. Mohammadi, Bijan: Uncertainty quantification in littoral erosion (2017)
  8. Tranquilli, Paul; Glandon, S. Ross; Sarshar, Arash; Sandu, Adrian: Analytical Jacobian-vector products for the matrix-free time integration of partial differential equations (2017)
  9. Auroux, Didier; Groza, Vladimir: Sensitivity studies and parameters identification for noisy 3D moving AWJM model (2016)
  10. Brown, Kirsty L.; Gejadze, Igor; Ramage, Alison: A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation (2016)
  11. 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)
  12. Gejadze, I. Yu.; Malaterre, P.-O.: Design of the control set in the framework of variational data assimilation (2016)
  13. Günther, Stefanie; Gauger, Nicolas R.; Wang, Qiqi: Simultaneous single-step one-shot optimization with unsteady PDEs (2016)
  14. Kasper Kristensen and Anders Nielsen and Casper Berg and Hans Skaug and Bradley Bell: TMB: Automatic Differentiation and Laplace Approximation (2016) not zbMATH
  15. Łaniewski-Wołłk, Ł.; Rokicki, J.: Adjoint lattice Boltzmann for topology optimization on multi-GPU architecture (2016)
  16. Sluşanschi, Emil I.; Dumitrel, Vlad: ADiJaC -- automatic differentiation of Java classfiles (2016)
  17. Yao, Weigang; Liou, Meng-Sing: A nonlinear modeling approach using weighted piecewise series and its applications to predict unsteady flows (2016)
  18. Zwicke, Florian; Knechtges, Philipp; Behr, Marek; Elgeti, Stefanie: Automatic implementation of material laws: Jacobian calculation in a finite element code with TAPENADE (2016)
  19. Bonnard, Bernard; Claeys, Mathieu; Cots, Olivier; Martinon, Pierre: Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance (2015)
  20. Cao, Danping; Liao, Wenyuan: A computational method for full waveform inversion of crosswell seismic data using automatic differentiation (2015)

Further publications can be found at: