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135 results on '"Naumann, Uwe"'

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1. Digitalisierung in der Werkstoffprüfung

2. Parallel Adjoint Taping Using MPI

3. Numerical Stability of Tangents and Adjoints of Implicit Functions

4. A Note on Adjoint Linear Algebra

6. Discrete Interval Adjoints in Unconstrained Global Optimization

8. MCMC for Bayesian Uncertainty Quantification from Time-Series Data

9. Interval Adjoint Significance Analysis for Neural Networks

10. Eigen-AD: Algorithmic Differentiation of the Eigen Library

11. Patient-Specific Cardiac Parametrization from Eikonal Simulations

12. Efficient Computation of Sparse Higher Derivative Tensors

13. Call Tree Reversal is NP-Complete

15. Adjoints for Time-Dependent Optimal Control

17. Solving a Least-Squares Problem with Algorithmic Differentiation and OpenMP

18. Discrete Adjoints of PETSc through dco/c++ and Adjoint MPI

19. Minimizing the Tape Size

24. A Wish List for Efficient Adjoints of One-Sided MPI Communication

25. Second-Order Algorithmic Differentiation by Source Transformation of MPI Code

26. Autoren A-Z

27. A Framework for Proving Correctness of Adjoint Message-Passing Programs

28. Tangent-Linear Models by Augmented LL-Parsers

29. M

30. Source Templates for the Automatic Generation of Adjoint Code Through Static Call Graph Reversal

31. Metzler Autoren Lexikon

33. Coupling Tangent-Linear and Adjoint Models

37. Metzler Autoren Lexicon : Deutschsprachige Dichter und Schriftsteller vom Mittelalter bis zur Gegenwart

39. Combinatorial Computation with Automatic Differentiation

40. Algorithmic Differentiation of Implicit Functions and Optimal Values

43. A Modification of Weeks’ Method for Numerical Inversion of the Laplace Transform in the Real Case Based on Automatic Differentiation

44. A Low Rank Approach to Automatic Differentiation

46. Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via Automatic Differentiation

47. On Formal Certification of AD Transformations

49. Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process

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