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Publications of Author

1. Andreas Alexander Albrecht, Peter Gottschling, Uwe Naumann
   Markowitz-Type Heuristics for Computing Jacobian Matrices Efficiently. [Citation Graph (0, 0)][DBLP]
   International Conference on Computational Science, 2003, pp:575-584 [Conf]
   
2. Uwe Naumann
   Reducing the Memory Requirement in Reverse Mode Automatic Differentiation by Solving TBR Flow Equations. [Citation Graph (0, 0)][DBLP]
   International Conference on Computational Science (2), 2002, pp:1039-1048 [Conf]
   
3. Uwe Naumann, Jean Utke
   Source Templates for the Automatic Generation of Adjoint Code Through Static Call Graph Reversal. [Citation Graph (0, 0)][DBLP]
   International Conference on Computational Science (1), 2005, pp:338-346 [Conf]
   
4. Uwe Naumann, Patrick Heimbach
   Coupling Tangent-Linear and Adjoint Models. [Citation Graph (0, 0)][DBLP]
   ICCSA (2), 2003, pp:105-114 [Conf]
   
5. Uwe Naumann, Andre Vehreschild
   Tangent-Linear Models by Augmented LL-Parsers. [Citation Graph (0, 0)][DBLP]
   ICCSA (1), 2006, pp:865-874 [Conf]
   
6. Malcolm Cohen, Uwe Naumann, Jan Riehme
   Towards Differentiation-Enabled FORTRAN 95 Compiler Technology. [Citation Graph (0, 0)][DBLP]
   SAC, 2003, pp:143-147 [Conf]
   
7. Uwe Naumann, Peter Gottschling
   Prospects for Simulated Annealing Algorithms in Automatic Differentiation. [Citation Graph (0, 0)][DBLP]
   SAGA, 2001, pp:131-144 [Conf]
   
8. Uwe Naumann, Peter Gottschling
   Simulated Annealing for Optimal Pivot Selection in Jacobian Accumulation. [Citation Graph (0, 0)][DBLP]
   SAGA, 2003, pp:83-97 [Conf]
   
9. Uwe Naumann, Jean Utke, Andrew Lyons, Michael Fagan
   Control Flow Reversal for Adjoint Code Generation. [Citation Graph (0, 0)][DBLP]
   SCAM, 2004, pp:55-64 [Conf]
   
10. Uwe Naumann, Andrea Walther
    An Introduction to Using Software Tools for Automatic Differentiation [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
    
11. Laurent Hascoët, Uwe Naumann, Valérie Pascual
    "To be recorded" analysis in reverse-mode automatic differentiation. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2005, v:21, n:8, pp:1401-1417 [Journal]
    
12. Jean Utke, Andrew Lyons, Uwe Naumann
    Efficient reversal of the intraprocedural flow of control in adjoint computations. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2006, v:79, n:9, pp:1280-1294 [Journal]
    
13. Andreas Griewank, Uwe Naumann
    Accumulating Jacobians as chained sparse matrix products. [Citation Graph (0, 0)][DBLP]
    Math. Program., 2003, v:95, n:3, pp:555-571 [Journal]
    
14. Uwe Naumann
    Optimal accumulation of Jacobian matrices by elimination methods on the dual computational graph. [Citation Graph (0, 0)][DBLP]
    Math. Program., 2004, v:99, n:3, pp:399-421 [Journal]
    
15. Uwe Naumann, Jan Riehme
    A differentiation-enabled fortran 95 compiler. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Math. Softw., 2005, v:31, n:4, pp:458-474 [Journal]
    
16. Jean Utke, Uwe Naumann
    Separating language dependent and independent tasks for the semantic transformation of numerical programs. [Citation Graph (0, 0)][DBLP]
    IASTED Conf. on Software Engineering and Applications, 2004, pp:552-558 [Conf]
    
17. 
    Toward adjoinable MPI. [Citation Graph (, )][DBLP]
    
    
18. 
    Parallel Jacobian Accumulation. [Citation Graph (, )][DBLP]
    
    
19. 
    A Framework for Proving Correctness of Adjoint Message-Passing Programs. [Citation Graph (, )][DBLP]
    
    
20. 
    On Syntax-Directed Adjoint Fortran Code. [Citation Graph (, )][DBLP]