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References in zbMATH (referenced in 13 articles )

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  1. Baydin, Atılım Güneş; Pearlmutter, Barak A.; Radul, Alexey Andreyevich; Siskind, Jeffrey Mark: Automatic differentiation in machine learning: a survey (2018)
  2. Rauser, Florian; Marotzke, Jochem; Korn, Peter: Ensemble-type numerical uncertainty information from single model integrations (2015)
  3. Stumm, Philipp; Walther, Andrea: New algorithms for optimal online checkpointing (2010)
  4. Naumann, Uwe: DAG reversal is NP-complete (2009)
  5. Stumm, Philipp; Walther, Andrea: Multistage approaches for optimal offline checkpointing (2009)
  6. Stumm, Philipp; Walther, Andrea; Riehme, Jan; Naumann, Uwe: Structure-exploiting automatic differentiation of finite element discretizations (2008)
  7. Barnes, David J.; Hopkins, Tim R.: Improving test coverage of LAPACK (2007)
  8. Bücker, Martin (ed.); Corliss, George (ed.); Hovland, Paul (ed.); Naumann, Uwe (ed.); Norris, Boyana (ed.): Automatic differentiation: Applications, theory, and implementations. Selected papers based on the presentation at the 4th international conference on automatic differentiation (AD), Chicago, IL, USA, July 20--23, 2004 (2006)
  9. Gay, David M.: Semiautomatic differentiation for efficient gradient computations (2006)
  10. Naumann, Uwe; Riehme, Jan: Computing adjoints with the NAGWare Fortran 95 compiler (2006)
  11. Hopkins, Tim: A comment on the presentation and testing of CALGO codes and a remark on algorithm 639: To integrate some infinite oscillating tails (2002)
  12. Carpaneto, G.; Dell’Amico, M.; Toth, P.: Algorithm 750: CDT: A subroutine for the exact solution of large scale, asymmetric traveling salesman problems (1995)
  13. Scott, J. A.: An Arnoldi code for computing selected eigenvalues of sparse, real unsymmetric matrices (1995)