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[1-9]
| Order by:
[Title],
[Author],
[Editor],
[Year] |
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Assefaw Hadish Gebremedhin, Fredrik Manne, Alex Pothen
What Color Is Your Jacobian? Graph Coloring for Computing Derivatives
Article in
SIAM Review, SIAM,
2005 |
Theory & Techniques:
Sparsity
|
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Assefaw H. Gebremedhin, Alex Pothen, Andrea Walther
Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
ADOL-C
Theory & Techniques:
Sparsity
|
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A. H. Gebremedhin, A. Pothen, A. Tarafdar, A. Walther
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation
Article in
INFORMS Journal on Computing, 2009 |
Tools:
ADOL-C, ColPack
Theory & Techniques:
graph coloring, Sparsity
|
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A. H. Gebremedhin, A. Tarafdar, F. Manne, A. Pothen
New Acyclic and Star Coloring Algorithms with Applications to Hessian Computation
Article in
SIAM Journal on Scientific Computing, 2007 |
Theory & Techniques:
Hessian, Sparsity
|
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Assefaw H. Gebremedhin, Duc Nguyen, Md. Mostofa Ali Patwary, Alex Pothen
ColPack: Software for graph coloring and related problems in scientific computing
Article in
ACM Trans. Math. Softw., ACM,
2013 |
Tools:
ColPack
Theory & Techniques:
graph coloring, Sparsity
|
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Benjamin Letschert, Kshitij Kulshreshtha, Andrea Walther, Duc Nguyen, Assefaw Gebremedhin, Alex Pothen
Exploiting Sparsity in Automatic Differentiation on Multicore Architectures
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Parallelism, Sparsity
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Mu Wang, Assefaw Gebremedhin, Alex Pothen
Capitalizing on live variables: new algorithms for efficient Hessian computation via automatic differentiation
Article in
Mathematical Programming Computation, 2016 |
Theory & Techniques:
Hessian
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Mu Wang, Alex Pothen, Paul Hovland
Edge Pushing is Equivalent to Vertex Elimination for Computing Hessians
Conference proceeding,
2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, Albuquerque, New Mexico, USA, October 10--12, SIAM,
2016 |
Theory & Techniques:
Hessian
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Mu Wang, Guang Lin, Alex Pothen
Using automatic differentiation for compressive sensing in uncertainty quantification
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
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